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:
Vázquez viaja a Riazor con la intención de amargarle el liderato al Deportivo y dijo que si su equipo es capaz de ganar mañana, también se meterá "en el grupo de aspirantes al título".
Postion	Tokenization
1	Vázquez
2	viaja
3	a
4	Riazor
5	con
6	la
7	intención
8	de
9	amargarle
10	amargar
11	le
12	el
13	liderato
14	al
15	Deportivo
16	y
17	dijo
18	que
19	si
20	su
21	equipo
22	es
23	capaz
24	de
25	ganar
26	mañana
27	,
28	también
29	se
30	meterá
31	"
32	en
33	el
34	grupo
35	de
36	aspirantes
37	al
38	título
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Vázquez	PROPN	2	nsubj
2	viaja	VERB	0	root
3	a	ADP	4	case
4	Riazor	PROPN	2	obl
5	con	ADP	7	case
6	la	DET	7	det
7	intención	NOUN	2	obl
8	de	ADP	9	mark
9	amargarle	_	None	_
10	amargar	VERB	7	acl
11	le	PRON	9	obj
12	el	DET	12	det
13	liderato	NOUN	9	obj
14	al	ADP	14	case
15	Deportivo	PROPN	9	obj
16	y	CCONJ	16	cc
17	dijo	VERB	2	conj
18	que	SCONJ	29	mark
19	si	SCONJ	22	mark
20	su	DET	20	det
21	equipo	NOUN	22	nsubj
22	es	AUX	22	cop
23	capaz	ADJ	29	advcl
24	de	ADP	24	mark
25	ganar	VERB	22	acl
26	mañana	ADV	24	advmod
27	,	PUNCT	22	punct
28	también	ADV	29	advmod
29	se	PRON	29	obj
30	meterá	VERB	16	ccomp
31	"	PUNCT	33	punct
32	en	ADP	33	case
33	el	DET	33	det
34	grupo	NOUN	29	obl
35	de	ADP	35	case
36	aspirantes	NOUN	33	nmod
37	al	ADP	37	case
38	título	NOUN	35	nmod
39	"	PUNCT	33	punct
40	.	PUNCT	2	punct