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:
Y el argentino Javier Saviola, después de que el River Plate le ofreciera al Barça la posibilidad de traspasarlo, es el nombre que encabeza la lista de fichajes.
Postion	Tokenization
1	Y
2	el
3	argentino
4	Javier
5	Saviola
6	,
7	después
8	de
9	que
10	el
11	River
12	Plate
13	le
14	ofreciera
15	al
16	Barça
17	la
18	posibilidad
19	de
20	traspasarlo
21	traspasar
22	lo
23	,
24	es
25	el
26	nombre
27	que
28	encabeza
29	la
30	lista
31	de
32	fichajes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	25	advmod
2	el	DET	3	det
3	argentino	NOUN	25	nsubj
4	Javier	PROPN	3	appos
5	Saviola	PROPN	4	flat
6	,	PUNCT	7	punct
7	después	ADV	25	advmod
8	de	ADP	14	mark
9	que	SCONJ	14	mark
10	el	DET	11	det
11	River	PROPN	14	nsubj
12	Plate	PROPN	11	flat
13	le	PRON	14	obj
14	ofreciera	VERB	7	advcl
15	al	ADP	16	case
16	Barça	PROPN	14	obj
17	la	DET	18	det
18	posibilidad	NOUN	14	obj
19	de	ADP	20	mark
20	traspasarlo	_	None	_
21	traspasar	VERB	18	acl
22	lo	PRON	20	obj
23	,	PUNCT	7	punct
24	es	AUX	25	cop
25	el	DET	25	det
26	nombre	NOUN	0	root
27	que	PRON	27	nsubj
28	encabeza	VERB	25	acl
29	la	DET	29	det
30	lista	NOUN	27	obj
31	de	ADP	31	case
32	fichajes	NOUN	29	nmod
33	.	PUNCT	25	punct