BUG: Cannot parse query for df.query() with column name containing two-bytes parenthesis.

[suzuki-shm]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd

a = {'abc':[1,2,3],'xy （z）':[4,5,6]}

df = pd.DataFrame(a)
query = "`xy （z）` == 2"
new_df = df.query(query)

Issue Description

A error has happened as follow.

Traceback (most recent call last):

  File ~/pandas-check/.venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py:3433 in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)

  Cell In [1], line 7
    new_df = df.query(query)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/util/_decorators.py:331 in wrapper
    return func(*args, **kwargs)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/frame.py:4463 in query
    res = self.eval(expr, **kwargs)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/util/_decorators.py:331 in wrapper
    return func(*args, **kwargs)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/frame.py:4601 in eval
    return _eval(expr, inplace=inplace, **kwargs)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/eval.py:353 in eval
    parsed_expr = Expr(expr, engine=engine, parser=parser, env=env)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/expr.py:813 in __init__
    self.terms = self.parse()

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/expr.py:832 in parse
    return self._visitor.visit(self.expr)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/expr.py:405 in visit
    clean = self.preparser(node)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/expr.py:166 in _preparse
    return tokenize.untokenize(f(x) for x in tokenize_string(source))

  File /opt/rh/rh-python38/root/usr/lib64/python3.8/tokenize.py:278 in untokenize
    out = ut.untokenize(iterable)

  File /opt/rh/rh-python38/root/usr/lib64/python3.8/tokenize.py:187 in untokenize
    for t in it:

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/expr.py:166 in <genexpr>
    return tokenize.untokenize(f(x) for x in tokenize_string(source))

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/expr.py:124 in <lambda>
    return lambda *args, **kwargs: f(g(*args, **kwargs))

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/parsing.py:92 in clean_backtick_quoted_toks
    return tokenize.NAME, create_valid_python_identifier(tokval)

  File ~/pandas-check/.venv/lib64/python3.8/site-packages/pandas/core/computation/parsing.py:65 in create_valid_python_identifier
    raise SyntaxError(f"Could not convert '{name}' to a valid Python identifier.")

  File <string>
SyntaxError: Could not convert 'BACKTICK_QUOTED_STRING_xy_（z）' to a valid Python identifier.

Expected Behavior

We expect the rows to be selected appropriately by the query method without error.

This error would be related to #28576.
Indeed, this does not happens if the parenthesis is 1-bytes code.

Installed Versions

INSTALLED VERSIONS

commit : 91111fd
python : 3.8.13.final.0
python-bits : 64
OS : Linux
OS-release : 3.10.0-1160.76.1.el7.x86_64
Version : #1 SMP Wed Aug 10 16:21:17 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : None.None

pandas : 1.5.1
numpy : 1.23.4
pytz : 2022.6
dateutil : 2.8.2
setuptools : 63.4.1
pip : 22.2.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 8.6.0
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None