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:
También ha sorprendido que tres de cada cuatro jóvenes consultados se muestre partidario de penalizar el consumo de drogas (un 44% pide su prohibición y el 33% sólo las duras).
Postion	Tokenization
1	También
2	ha
3	sorprendido
4	que
5	tres
6	de
7	cada
8	cuatro
9	jóvenes
10	consultados
11	se
12	muestre
13	partidario
14	de
15	penalizar
16	el
17	consumo
18	de
19	drogas
20	(
21	un
22	44%
23	pide
24	su
25	prohibición
26	y
27	el
28	33%
29	sólo
30	las
31	duras
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	ha	AUX	3	aux
3	sorprendido	VERB	0	root
4	que	SCONJ	12	mark
5	tres	NUM	9	nummod
6	de	ADP	5	compound
7	cada	NUM	5	compound
8	cuatro	NUM	5	compound
9	jóvenes	NOUN	12	nsubj
10	consultados	ADJ	9	amod
11	se	PRON	12	expl:pv
12	muestre	VERB	3	csubj
13	partidario	ADJ	12	obj
14	de	ADP	15	mark
15	penalizar	VERB	13	acl
16	el	DET	17	det
17	consumo	NOUN	15	obj
18	de	ADP	19	case
19	drogas	NOUN	17	nmod
20	(	PUNCT	23	punct
21	un	DET	22	det
22	44%	SYM	23	nsubj
23	pide	VERB	3	parataxis
24	su	DET	25	det
25	prohibición	NOUN	23	obj
26	y	CCONJ	28	cc
27	el	DET	28	det
28	33%	SYM	23	conj
29	sólo	ADV	31	advmod
30	las	DET	31	det
31	duras	ADJ	28	appos
32	)	PUNCT	23	punct
33	.	PUNCT	3	punct