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:
Pese a las ventajas y la protección oficial que se les promete, muchas de las 25.000 prostitutas de Holanda no parecen muy interesadas en legalizar su situación, registrarse y pagar impuestos elevados.
Postion	Tokenization
1	Pese
2	a
3	las
4	ventajas
5	y
6	la
7	protección
8	oficial
9	que
10	se
11	les
12	promete
13	,
14	muchas
15	de
16	las
17	25.000
18	prostitutas
19	de
20	Holanda
21	no
22	parecen
23	muy
24	interesadas
25	en
26	legalizar
27	su
28	situación
29	,
30	registrarse
31	registrar
32	se
33	y
34	pagar
35	impuestos
36	elevados
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	4	case
2	a	ADP	1	fixed
3	las	DET	4	det
4	ventajas	NOUN	22	obl
5	y	CCONJ	7	cc
6	la	DET	7	det
7	protección	NOUN	4	conj
8	oficial	ADJ	7	amod
9	que	PRON	12	obj
10	se	PRON	12	expl:pass
11	les	PRON	12	obj
12	promete	VERB	7	acl
13	,	PUNCT	4	punct
14	muchas	PRON	22	nsubj
15	de	ADP	18	case
16	las	DET	17	det
17	25.000	NUM	18	nummod
18	prostitutas	NOUN	14	nmod
19	de	ADP	20	case
20	Holanda	PROPN	18	nmod
21	no	ADV	22	advmod
22	parecen	VERB	0	root
23	muy	ADV	22	advmod
24	interesadas	ADJ	22	xcomp
25	en	ADP	26	mark
26	legalizar	VERB	24	xcomp
27	su	DET	28	det
28	situación	NOUN	26	obj
29	,	PUNCT	30	punct
30	registrarse	_	None	_
31	registrar	VERB	26	advcl
32	se	PRON	30	expl:pass
33	y	CCONJ	33	cc
34	pagar	VERB	26	conj
35	impuestos	NOUN	33	obj
36	elevados	ADJ	34	amod
37	.	PUNCT	22	punct