BUG: sort_index method ignores ascending parameter of type tuple
### 

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

- [ ] 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

df = pd.DataFrame({
    "animal": ["dog", "duck", "horse", "penguin", "kangaroo"], 
    "legs": [4, 2, 4, 2, 2], 
    "class": ["mammal", "bird", "mammal", "bird", "mammal"]
})

df.set_index(["class", "animal"], inplace=True)

sorted1 = df.sort_index(level=(0, 1), ascending=[True, False])
sorted2 = df.sort_index(level=(0, 1), ascending=(True, False))
```


### Issue Description

In the above example, the `sort_index` method on DataFrame object does not sort MultiIndex properly when the `ascending` parameter is passed as tuple. The `sorted2.index` should be sorted in ascending order for level 0 (`class`) and descending order for level 1 (`animal`). However, this is not the case and level 1 is also ascending: 

```python
>>> print(sorted2.index)
MultiIndex([(  'bird',     'duck'),
            (  'bird',  'penguin'),
            ('mammal',      'dog'),
            ('mammal',    'horse'),
            ('mammal', 'kangaroo')],
           names=['class', 'animal'])
```

When the `ascending` parameter is list than the `sort_index` method works as expected such that level 0 is ascending and level 1 is descending:

```python
>>> print(sorted1.index)
MultiIndex([(  'bird',  'penguin'),
            (  'bird',     'duck'),
            ('mammal', 'kangaroo'),
            ('mammal',    'horse'),
            ('mammal',      'dog')],
           names=['class', 'animal'])
```

### Expected Behavior

I would expect `sorted1.index` and `sorted2.index` to be equal (i.e., include a test case with `assert sorted1.index == sorted2.index` that passes).

### Installed Versions

INSTALLED VERSIONS
------------------
commit           : b5958ee1999e9aead1938c0bba2b674378807b3d
python           : 3.6.9.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.0-84-generic
Version          : #94~18.04.1-Ubuntu SMP Thu Aug 26 23:17:46 UTC 2021
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.1.5
numpy            : 1.19.5
pytz             : 2021.3
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 58.2.0
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          : 7.16.1
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
pytables         : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None