BUG: `.loc[]` on Series with MultiIndex raises "ValueError: Too many indices" if one level is a tuple
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [ ] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
import pandas as pd
print(pd.__version__)

idx = pd.MultiIndex.from_tuples([(i, 1, (1, 1)) for i in range(5)])
print(pd.Series(range(5), index=idx).loc[(1, 1, (1, 1))])
```


### Issue Description

A Series with a MultiIndex where one level is a tuple cannot be indexed with `.loc[]`. Instead it raises `ValueError: Too many indices`:

```
~/src/pandas $ python test.py 
1.3.3
Traceback (most recent call last):
  File "test.py", line 6, in <module>
    print(pd.Series(range(5), index=idx).loc[(1, 1, (1, 1))])
  File "/home/andrea/src/pandas/venv/lib/python3.8/site-packages/pandas/core/indexing.py", line 925, in __getitem__
    return self._getitem_tuple(key)
  File "/home/andrea/src/pandas/venv/lib/python3.8/site-packages/pandas/core/indexing.py", line 1100, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "/home/andrea/src/pandas/venv/lib/python3.8/site-packages/pandas/core/indexing.py", line 822, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "/home/andrea/src/pandas/venv/lib/python3.8/site-packages/pandas/core/indexing.py", line 881, in _getitem_nested_tuple
    raise ValueError("Too many indices")
ValueError: Too many indices
```

### Expected Behavior

Up to v1.2.5 indexing works as expected to select the data:

```bash
~/src/pandas $ python test.py 
1.2.5
1
```

### Installed Versions

<details>


INSTALLED VERSIONS
------------------
commit           : 73c68257545b5f8530b7044f56647bd2db92e2ba
python           : 3.8.11.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.0-81-generic
Version          : #91~18.04.1-Ubuntu SMP Fri Jul 23 13:36:29 UTC 2021
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_SG.UTF-8
LOCALE           : en_SG.UTF-8

pandas           : 1.3.3
numpy            : 1.21.2
pytz             : 2021.3
dateutil         : 2.8.2
pip              : 21.1.1
setuptools       : 56.0.0
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          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None


</details>
