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 input: 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!!
Example output: Favor
Example explanation: 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'.
Q: Tweet: Sabeu que tenen en comu les DUIs (o intents de DUI) de: 1641 1712 1793 1810 1873 1931 1934 2017 ? La RENDICIO dels nostres politics amb propostes incumplides per part de N i altres estats amb l'aprovacio del POBLE CATALA. Es aixo el que voleu?
A:
Favor