BUG: Allow using datetime64[ns, UTC] in IntervalDtype

[simonjayhawkins]

Pandas version checks

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• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

dates = pd.date_range("2022", periods=3, tz="UTC")
print(pd.IntervalIndex.from_arrays(dates[:-1], dates[1:]))
print(
    pd.IntervalIndex.from_arrays(
        ["2022-01-01", "2022-01-02"],
        ["2022-01-02", "2022-01-03"],
        dtype="interval[datetime64[ns, UTC], right]",
    )
)

Issue Description

raises TypeError: data type 'interval[datetime64[ns, UTC], right]' not understood

xref #46666

works for Interval of naive timeseries...

dates = pd.date_range("2022", periods=3)
print(pd.IntervalIndex.from_arrays(dates[:-1], dates[1:]))
print(
    pd.IntervalIndex.from_arrays(
        ["2022-01-01", "2022-01-02"],
        ["2022-01-02", "2022-01-03"],
        dtype="interval[datetime64[ns], right]",
    )
)

Expected Behavior

IntervalIndex([(2022-01-01, 2022-01-02], (2022-01-02, 2022-01-03]], dtype='interval[datetime64[ns, UTC], right]')

Installed Versions

.