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:
El ayuntamiento anima a regularizarse a los vecinos no censados (el 15% de la población) en la guía del contribuyente que se distribuye por los domicilios.
Postion	Tokenization
1	El
2	ayuntamiento
3	anima
4	a
5	regularizarse
6	regularizar
7	se
8	a
9	los
10	vecinos
11	no
12	censados
13	(
14	el
15	15%
16	de
17	la
18	población
19	)
20	en
21	la
22	guía
23	del
24	contribuyente
25	que
26	se
27	distribuye
28	por
29	los
30	domicilios
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ayuntamiento	NOUN	3	nsubj
3	anima	VERB	0	root
4	a	ADP	5	mark
5	regularizarse	_	None	_
6	regularizar	VERB	3	advcl
7	se	PRON	5	obj
8	a	ADP	9	case
9	los	DET	9	det
10	vecinos	NOUN	3	obj
11	no	ADV	11	advmod
12	censados	ADJ	9	amod
13	(	PUNCT	14	punct
14	el	DET	14	det
15	15%	SYM	9	appos
16	de	ADP	17	case
17	la	DET	17	det
18	población	NOUN	14	nmod
19	)	PUNCT	14	punct
20	en	ADP	21	case
21	la	DET	21	det
22	guía	NOUN	3	obl
23	del	ADP	23	case
24	contribuyente	NOUN	21	nmod
25	que	PRON	26	nsubj
26	se	PRON	26	expl:pass
27	distribuye	VERB	21	acl
28	por	ADP	29	case
29	los	DET	29	det
30	domicilios	NOUN	26	obl
31	.	PUNCT	3	punct