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:
Llorenç Serra Ferrer trató ayer de restarle a Juan Román Riquelme el protagonismo que había adquirido después de que el Boca Júniors y el Barça anunciaran un principio de acuerdo para su traspaso.
Postion	Tokenization
1	Llorenç
2	Serra
3	Ferrer
4	trató
5	ayer
6	de
7	restarle
8	a
9	Juan
10	Román
11	Riquelme
12	el
13	protagonismo
14	que
15	había
16	adquirido
17	después
18	de
19	que
20	el
21	Boca
22	Júniors
23	y
24	el
25	Barça
26	anunciaran
27	un
28	principio
29	de
30	acuerdo
31	para
32	su
33	traspaso
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Llorenç	PROPN	4	nsubj
2	Serra	PROPN	1	flat
3	Ferrer	PROPN	1	flat
4	trató	VERB	0	root
5	ayer	ADV	4	advmod
6	de	ADP	7	mark
7	restarle	VERB	4	xcomp
8	a	ADP	9	case
9	Juan	PROPN	7	obj
10	Román	PROPN	9	flat
11	Riquelme	PROPN	9	flat
12	el	DET	13	det
13	protagonismo	NOUN	7	obj
14	que	PRON	16	obj
15	había	AUX	16	aux
16	adquirido	VERB	13	acl
17	después	ADV	16	advmod
18	de	ADP	26	mark
19	que	SCONJ	26	mark
20	el	DET	21	det
21	Boca	PROPN	26	nsubj
22	Júniors	PROPN	21	flat
23	y	CCONJ	25	cc
24	el	DET	25	det
25	Barça	PROPN	21	conj
26	anunciaran	VERB	17	advcl
27	un	DET	28	det
28	principio	NOUN	26	obj
29	de	ADP	30	case
30	acuerdo	NOUN	28	nmod
31	para	ADP	33	case
32	su	DET	33	det
33	traspaso	NOUN	26	obl
34	.	PUNCT	4	punct