Given the task definition, example input & output, solve the new input case.
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
Example: Tweet: Vull votar i votare. Hi ha quelcom que no em permet no fer-ho. Ara be tinc un greu problema. No se a qui!!
Output: Favor
The tweet asks for the right to vote for the independence of Catalonia and it supports the movement so it will be characterized as 'Favor'.

New input case for you: Tweet: Si! Ets un mentider @EnricMillo!! Hi ha videos del fairy i la gent parejant el cap del piolines!'??Al rebes si que tenim videos!! Piolines patejan als votants pacifics!! Pocavergonya!! #JoAcuso #FreeTothom https://t.co/jR1ruYWf8y
Output:
Favor