Converting string column to date time when strings slightly differ in format due to GMT specification [duplicate]

I have a df with a columns that contains, in two different string format, several timestamps.

These are the two formats:

fmt = "%a %b %d %H:%M:%S %Z%z %Y"
fmt_2 = "%a %b %d %H:%M:%S %Z %Y"

Thanks to this community, if I had just one type of string format I would be able to convert to datetime using

.apply(lambda x: datetime.strptime(x, fmt)

stamp = "Fri Oct 11 15:09:30 GMT+01:00 2019"
stamp_2 = 'Sun Oct 27 08:05:47 GMT 2019'
stamp_3 = 'Sat Oct 26 08:05:47 GMT 2019'
stamp_4 = "Sat Oct 12 15:09:30 GMT+01:00 2019"

#How I would convert the two format
#from string to datetime
#
fmt = "%a %b %d %H:%M:%S %Z%z %Y"
print(datetime.strptime(stamp, fmt))
fmt_2 = "%a %b %d %H:%M:%S %Z %Y"
print(datetime.strptime(stamp_2, fmt_2))

#building an example dataframe
question_dict = {"time":[stamp, stamp_2,
                           stamp_3,stamp_4],
                 "record":[1,2,3,4]}
question_df = pd.DataFrame(question_dict)
print(question_df.info())

How can I convert the elements in my column from string to datetime?

I tried to search but please let me know if my question is a duplicate.