As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Pero CiU haría bien en no menospreciar al PP catalán, porque para alcanzar acuerdos factibles debe hacerlo con quien tiene responsabilidad de gobierno.
Postion	Tokenization
1	Pero
2	CiU
3	haría
4	bien
5	en
6	no
7	menospreciar
8	al
9	PP
10	catalán
11	,
12	porque
13	para
14	alcanzar
15	acuerdos
16	factibles
17	debe
18	hacerlo
19	hacer
20	lo
21	con
22	quien
23	tiene
24	responsabilidad
25	de
26	gobierno
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	3	advmod
2	CiU	PROPN	3	nsubj
3	haría	VERB	0	root
4	bien	ADV	3	obj
5	en	ADP	7	mark
6	no	ADV	7	advmod
7	menospreciar	VERB	3	advcl
8	al	ADP	9	case
9	PP	PROPN	7	obj
10	catalán	ADJ	9	amod
11	,	PUNCT	18	punct
12	porque	SCONJ	18	mark
13	para	ADP	14	mark
14	alcanzar	VERB	18	advcl
15	acuerdos	NOUN	14	obj
16	factibles	ADJ	15	amod
17	debe	AUX	18	aux
18	hacerlo	_	None	_
19	hacer	VERB	3	advcl
20	lo	PRON	18	obj
21	con	ADP	22	mark
22	quien	PRON	22	nsubj
23	tiene	VERB	18	advcl
24	responsabilidad	NOUN	22	obj
25	de	ADP	25	case
26	gobierno	NOUN	23	nmod
27	.	PUNCT	3	punct