PERF: BooleanArray._from_sequence_of_strings
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/v2.0.0.rst` file if fixing a bug or adding a new feature.

Also removes the need to xfail when parsing a pyarrow array of strings.

```
import pandas as pd
import numpy as np
from pandas.core.arrays.boolean import BooleanArray

choices = BooleanArray._TRUE_VALUES.union(BooleanArray._FALSE_VALUES)
choices = np.array(list(choices), dtype=object)
strings = np.random.choice(choices, 10**5, replace=True)

%timeit BooleanArray._from_sequence_of_strings(strings)

# 43.4 ms ± 1.04 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)  -> main
# 21.9 ms ± 120 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)   -> PR
thx @lukemanley 