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:
Gianluca Vialli, técnico-jugador del Chelsea, fue el protagonista absoluto del triunfo de su equipo (0-2) en el campo del Oldham, partido correspondiente a la tercera ronda de la Cup inglesa.
Postion	Tokenization
1	Gianluca
2	Vialli
3	,
4	técnico-jugador
5	del
6	Chelsea
7	,
8	fue
9	el
10	protagonista
11	absoluto
12	del
13	triunfo
14	de
15	su
16	equipo
17	(
18	0-2
19	)
20	en
21	el
22	campo
23	del
24	Oldham
25	,
26	partido
27	correspondiente
28	a
29	la
30	tercera
31	ronda
32	de
33	la
34	Cup
35	inglesa
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Gianluca	PROPN	10	nsubj
2	Vialli	PROPN	1	flat
3	,	PUNCT	4	punct
4	técnico-jugador	NOUN	1	appos
5	del	ADP	6	case
6	Chelsea	PROPN	4	nmod
7	,	PUNCT	4	punct
8	fue	AUX	10	cop
9	el	DET	10	det
10	protagonista	NOUN	0	root
11	absoluto	ADJ	10	amod
12	del	ADP	13	case
13	triunfo	NOUN	10	nmod
14	de	ADP	16	case
15	su	DET	16	det
16	equipo	NOUN	13	nmod
17	(	PUNCT	18	punct
18	0-2	NUM	13	appos
19	)	PUNCT	18	punct
20	en	ADP	22	case
21	el	DET	22	det
22	campo	NOUN	10	obl
23	del	ADP	24	case
24	Oldham	PROPN	22	nmod
25	,	PUNCT	26	punct
26	partido	NOUN	10	obl
27	correspondiente	ADJ	26	amod
28	a	ADP	31	case
29	la	DET	31	det
30	tercera	ADJ	31	amod
31	ronda	NOUN	27	nmod
32	de	ADP	34	case
33	la	DET	34	det
34	Cup	PROPN	31	nmod
35	inglesa	ADJ	34	amod
36	.	PUNCT	10	punct