Extracting : verbs, nouns, adj, phrases .etc?

Is there a way to extract verbs, nouns, adj, phrases .etc ( in supervised_embedding case)

It will go into slots, right ?

If possible will it influence ‘intents’ ?

can you give an example of a user utterance that you want to parse and what you would want the output to look like?

from another post I got this :

            msg = tracker.latest_message.get('text')

I can spacy-nlp-pos it to get those … so I’m ok for now, thanks