Rows order when using slice(None) on MultiIndex Dataframe.loc
#### Code Sample

```python
df = pd.DataFrame(
      np.arange(12).reshape((4, 3)),
      index=[["a", "a", "b", "b"], [1, 2, 1, 2]],
      columns=[["Ohio", "Ohio", "Colorado"], ["Green", "Red", "Green"]],
      )

df.loc[(slice(None), [2,1]), :]                                                                                                
# actual output, same as df, order of slice(None) level take absolut precedence
     Ohio     Colorado
    Green Red    Green
a 1     0   1        2
  2     3   4        5
b 1     6   7        8
  2     9  10       11
```
#### Problem description
When working on issue #22797,  I came across this situation about ordering the result of loc. Should the level not explicitely requested be used when ordering the result, and how.
This may be mostly cosmetic, are one should not rely on how the resulted row are ordered, and may be a non issue. If so, feel free to close it.

#### Expected Output
```
# Second level is prioritary on first level
     Ohio     Colorado
    Green Red    Green
a 2     3   4        5
b 2     9  10       11
a 1     0   1        2
b 1     6   7        8

# ---- or ----

# Keep order of first level, then second level
     Ohio     Colorado
    Green Red    Green
a 2     3   4        5
  1     0   1        2
b 2     9  10       11
  1     6   7        8
```