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:
Las chicas de Sergio Vigil salieron volcadas al ataque y a los tres minutos dispusieron de la primera ocasión clara en una buena combinación entre Aymar y Onetto, que salió ligeramente desviada.
Postion	Tokenization
1	Las
2	chicas
3	de
4	Sergio
5	Vigil
6	salieron
7	volcadas
8	al
9	ataque
10	y
11	a
12	los
13	tres
14	minutos
15	dispusieron
16	de
17	la
18	primera
19	ocasión
20	clara
21	en
22	una
23	buena
24	combinación
25	entre
26	Aymar
27	y
28	Onetto
29	,
30	que
31	salió
32	ligeramente
33	desviada
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	chicas	NOUN	6	nsubj
3	de	ADP	4	case
4	Sergio	PROPN	2	nmod
5	Vigil	PROPN	4	flat
6	salieron	VERB	0	root
7	volcadas	ADJ	6	obj
8	al	ADP	9	case
9	ataque	NOUN	7	obl
10	y	CCONJ	15	cc
11	a	ADP	14	case
12	los	DET	14	det
13	tres	NUM	12	nummod
14	minutos	NOUN	15	obl
15	dispusieron	VERB	6	conj
16	de	ADP	19	case
17	la	DET	19	det
18	primera	ADJ	19	amod
19	ocasión	NOUN	15	obj
20	clara	ADJ	19	amod
21	en	ADP	24	case
22	una	DET	24	det
23	buena	ADJ	24	amod
24	combinación	NOUN	19	nmod
25	entre	ADP	26	case
26	Aymar	PROPN	24	nmod
27	y	CCONJ	28	cc
28	Onetto	PROPN	26	conj
29	,	PUNCT	31	punct
30	que	PRON	31	nsubj
31	salió	VERB	19	acl
32	ligeramente	ADV	33	advmod
33	desviada	ADJ	31	obj
34	.	PUNCT	6	punct