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:
El vigente campeón de España de rallys, que acudirá como piloto prioritario FIA B, buscará su triple corona en la Gran Canaria, ya que también se alzó con el triunfo en la XXI edición con un Citroen ZX.
Postion	Tokenization
1	El
2	vigente
3	campeón
4	de
5	España
6	de
7	rallys
8	,
9	que
10	acudirá
11	como
12	piloto
13	prioritario
14	FIA
15	B
16	,
17	buscará
18	su
19	triple
20	corona
21	en
22	la
23	Gran
24	Canaria
25	,
26	ya
27	que
28	también
29	se
30	alzó
31	con
32	el
33	triunfo
34	en
35	la
36	XXI
37	edición
38	con
39	un
40	Citroen
41	ZX
42	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	vigente	ADJ	3	amod
3	campeón	NOUN	17	nsubj
4	de	ADP	5	case
5	España	PROPN	3	nmod
6	de	ADP	7	case
7	rallys	NOUN	3	nmod
8	,	PUNCT	10	punct
9	que	PRON	10	nsubj
10	acudirá	VERB	3	acl
11	como	SCONJ	12	mark
12	piloto	NOUN	10	obl
13	prioritario	ADJ	12	amod
14	FIA	PROPN	12	appos
15	B	PROPN	14	flat
16	,	PUNCT	10	punct
17	buscará	VERB	0	root
18	su	DET	20	det
19	triple	NUM	18	nummod
20	corona	NOUN	17	obj
21	en	ADP	23	case
22	la	DET	23	det
23	Gran	ADJ	17	obl
24	Canaria	PROPN	23	flat
25	,	PUNCT	30	punct
26	ya	ADV	30	mark
27	que	SCONJ	26	fixed
28	también	ADV	30	advmod
29	se	PRON	30	expl:pv
30	alzó	VERB	17	advcl
31	con	ADP	33	case
32	el	DET	33	det
33	triunfo	NOUN	30	obl
34	en	ADP	36	case
35	la	DET	36	det
36	XXI	NOUN	30	obl
37	edición	NOUN	36	compound
38	con	ADP	40	case
39	un	DET	40	det
40	Citroen	PROPN	30	obl
41	ZX	PROPN	40	flat
42	.	PUNCT	17	punct