Pandas BUG: tz_localize(None) with Arrow timestamp

Pandas version checks

[x] I have checked that this issue has not already been reported.
[x] I have confirmed this bug exists on the latest version of pandas.
[x] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

# based on test_dt_tz_localize_none
import pandas as pd
import pyarrow as pa

ts = pd.Timestamp("2023-01-02 3:00:00")

ser = pd.Series(
    [ts, None],
    dtype=pd.ArrowDtype(pa.timestamp("ns", tz="US/Pacific")),
)
res = ser.dt.tz_localize(None)

assert res[0] == ser[0].tz_localize(None)  # <- nope!

Issue Description

The pyarrow tz_localize AFAICT is equivalent to .tz_convert("UTC").tz_localize(None)

Expected Behavior

Equivalent to pointwise operation, matching the non-pyarrow tz_localize

Installed Versions

Replace this line with the output of pd.show_versions()

.