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:
Para esta labor de atracción de votantes de CiU, los estrategas populares han recomendado evitar las críticas excesivamente viscerales.
Postion	Tokenization
1	Para
2	esta
3	labor
4	de
5	atracción
6	de
7	votantes
8	de
9	CiU
10	,
11	los
12	estrategas
13	populares
14	han
15	recomendado
16	evitar
17	las
18	críticas
19	excesivamente
20	viscerales
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	esta	DET	3	det
3	labor	NOUN	15	obl
4	de	ADP	5	case
5	atracción	NOUN	3	nmod
6	de	ADP	7	case
7	votantes	NOUN	5	nmod
8	de	ADP	9	case
9	CiU	PROPN	7	nmod
10	,	PUNCT	3	punct
11	los	DET	12	det
12	estrategas	NOUN	15	nsubj
13	populares	ADJ	12	amod
14	han	AUX	15	aux
15	recomendado	VERB	0	root
16	evitar	VERB	15	xcomp
17	las	DET	18	det
18	críticas	NOUN	16	obj
19	excesivamente	ADV	20	advmod
20	viscerales	ADJ	18	amod
21	.	PUNCT	15	punct