[Python] tokenize sentence into words python

I want to extract information from different sentences, so I'm using nltk to divide each sentence into words. I'm using this code:

words=[]
for i in range(len(sentences)):
words.append(nltk.word_tokenize(sentences))
words


It works pretty good, but I want something a little bit different than that. For example, I have this sentence:

'[\'Jan 31 19:28:14 nginx: 10.0.0.0 - - [31/Jan/2019:19:28:14 +0100] "POST /test/itf/ HTTP/x.x" 404 146 "-" "Mozilla/5.2 [en] (X11, U; OpenVAS-XX 9.2.7)"\']'


I want "Mozilla/5.2 [en] (X11, U; OpenVAS-XX 9.2.7)" to be one word and not divided into several single words .

UPDATE: I want something like that:

[
'Jan',
'31',
'19:28:14',
'nginx',
'10.0.0.0',
'31/Jan/2019:19:28:14',
'+0100',
'POST',
'/test/itf/',
'HTTP/x.x',
'404',
'146',
'Mozilla/5.2 [en] (X11, U; OpenVAS-XX 9.2.7)']


Any idea how to make it possible?

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