Hi there,
Rasa doesn’t support having multiple languages inside of the same config file.
If you want to implement a multilingual bot you could refer to What is the best way to create a multilingual chatbot?
There are multiple ways to tackle this problem. Recently I had a client that wanted both multilingual input and output. For that use case, I used a language agnostic config file (no language specific models even though I’ve stated that the config language is english), Rasa’s LabSE rasa/LaBSE · Hugging Face for featurization, defined custom components to account for language specifics (for example, a custom component for wrapping duckling so multiple languages could be processed), etc. For the response part, you could use NLG server or overwrite the default implementation of CollectingDispatcher, as I did, and do all the required translations in there 
However, if I were you, I’d experiment with NLG, it looks like a neater solution from my perspective now.
Regards, Nikola