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 Gobierno defiende que con esta nueva ley, aprobada en diciembre del año pasado, se puede combatir mejor la trata de blancas y la prostitución infantil, ya que todo el negocio del sexo estará más controlado.
Postion	Tokenization
1	El
2	Gobierno
3	defiende
4	que
5	con
6	esta
7	nueva
8	ley
9	,
10	aprobada
11	en
12	diciembre
13	del
14	año
15	pasado
16	,
17	se
18	puede
19	combatir
20	mejor
21	la
22	trata
23	de
24	blancas
25	y
26	la
27	prostitución
28	infantil
29	,
30	ya
31	que
32	todo
33	el
34	negocio
35	del
36	sexo
37	estará
38	más
39	controlado
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	3	nsubj
3	defiende	VERB	0	root
4	que	SCONJ	19	mark
5	con	ADP	8	case
6	esta	DET	8	det
7	nueva	ADJ	8	amod
8	ley	NOUN	19	obl
9	,	PUNCT	10	punct
10	aprobada	ADJ	8	amod
11	en	ADP	12	case
12	diciembre	NOUN	10	obl
13	del	ADP	14	case
14	año	NOUN	12	compound
15	pasado	NOUN	12	compound
16	,	PUNCT	10	punct
17	se	PRON	19	expl:pass
18	puede	AUX	19	aux
19	combatir	VERB	3	xcomp
20	mejor	ADV	19	advmod
21	la	DET	22	det
22	trata	NOUN	19	obj
23	de	ADP	24	case
24	blancas	NOUN	22	compound
25	y	CCONJ	27	cc
26	la	DET	27	det
27	prostitución	NOUN	22	conj
28	infantil	ADJ	27	amod
29	,	PUNCT	39	punct
30	ya	ADV	39	mark
31	que	SCONJ	30	fixed
32	todo	DET	33	det
33	el	DET	34	det
34	negocio	NOUN	39	nsubj
35	del	ADP	36	case
36	sexo	NOUN	34	nmod
37	estará	AUX	39	cop
38	más	ADV	39	advmod
39	controlado	ADJ	19	advcl
40	.	PUNCT	3	punct