BUG: Pass Groupby kwargs to panads grouper

[Servinjesus1]

Modin version checks

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

Reproducible Example

import modin.pandas as pd
import numpy as np
import warnings

warnings.filterwarnings("error", category=FutureWarning)

dff = pd.DataFrame()
dff['col'] = pd.Series(np.random.randint(0,5,1000)).astype('category')
dff[dff.col > 1].groupby('col', observed=True)

Issue Description

Groupby keword arguments should be passed to the pandas grouper when e.g. calculating group indices.
This is a small change to help alleviate a potentially breaking change in the future when pandas changes defaults.
In this case, observed will default to true in the future. So far I haven't run into an issue dealing with observed=False inside modin, but of course that might change.

The above will error showing the trace to one example in modin where this happens: DataFrameGroupBy._compute_index_grouped (ln 1568 in pandas/groupby.py.

As an example.

Expected Behavior

Modin groupby should play well with pandas groupby when specific groupby parameters are desired

Error Logs

No response

Installed Versions

INSTALLED VERSIONS

commit : 3e951a6
python : 3.10.12
python-bits : 64
OS : Linux
OS-release : 5.4.0-190-generic
Version : #210-Ubuntu SMP Fri Jul 5 17:03:38 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

Modin dependencies

modin : 0.32.0
ray : 2.36.1
dask : 2024.8.2
distributed : 2024.8.2

pandas dependencies

pandas : 2.2.3
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
pip : 24.2
Cython : None
sphinx : None
IPython : 8.27.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : 1.4.2
dataframe-api-compat : None
fastparquet : 2024.2.0
fsspec : 2024.6.1
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : 4.9.2
matplotlib : 3.9.2
numba : 0.60.0
numexpr : 2.10.1
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 16.1.0
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : None
tables : 3.10.1
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2023.3
qtpy : 2.4.1
pyqt5 : None