make datetime timezone aware

Question

I have following pandas dataframe column 'datetime':

0     2022-05-10 19:44:54.993268+03:00
1     2022-05-10 19:44:54.989526+03:00
2     2022-05-10 19:44:54.985980+03:00
3     2022-05-10 19:44:54.981855+03:00
4     2022-05-10 19:44:54.978606+03:00
5     2022-05-10 19:44:54.963795+03:00
6     2022-05-10 19:44:54.900888+03:00
7     2022-05-10 19:44:54.782925+03:00
8     2022-05-10 19:44:54.724647+03:00
9     2022-05-10 19:44:54.718475+03:00
10    2022-05-10 19:44:54.712729+03:00
11    2022-05-10 19:44:54.708497+03:00
12    2022-05-10 19:44:54.689855+03:00
13    2022-05-10 00:00:01.000001+00:00

If I try to convert the

pd.to_datetime(df["datetime"])

I got following error:

ValueError: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True

But to me it seems like all datetimes are date-time aware.

How can I avoid adding utc=True?