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:
En la Vuelta a España, la cifra de motoristas se eleva a 50 y en el Tour a 45, aunque ahí la carretera se cierra al tráfico varias horas antes del paso del pelotón.
Postion	Tokenization
1	En
2	la
3	Vuelta
4	a
5	España
6	,
7	la
8	cifra
9	de
10	motoristas
11	se
12	eleva
13	a
14	50
15	y
16	en
17	el
18	Tour
19	a
20	45
21	,
22	aunque
23	ahí
24	la
25	carretera
26	se
27	cierra
28	al
29	tráfico
30	varias
31	horas
32	antes
33	del
34	paso
35	del
36	pelotón
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	Vuelta	PROPN	12	obl
4	a	ADP	5	case
5	España	PROPN	3	nmod
6	,	PUNCT	3	punct
7	la	DET	8	det
8	cifra	NOUN	12	nsubj
9	de	ADP	10	case
10	motoristas	NOUN	8	nmod
11	se	PRON	12	expl:pv
12	eleva	VERB	0	root
13	a	ADP	14	case
14	50	NUM	12	obj
15	y	CCONJ	18	cc
16	en	ADP	18	case
17	el	DET	18	det
18	Tour	PROPN	14	conj
19	a	ADP	20	case
20	45	NUM	18	nummod
21	,	PUNCT	27	punct
22	aunque	SCONJ	27	mark
23	ahí	ADV	27	advmod
24	la	DET	25	det
25	carretera	NOUN	27	nsubj
26	se	PRON	27	expl:pass
27	cierra	VERB	12	advcl
28	al	ADP	29	case
29	tráfico	NOUN	27	obj
30	varias	DET	31	det
31	horas	NOUN	32	obl
32	antes	ADV	27	advmod
33	del	ADP	34	case
34	paso	NOUN	32	obl
35	del	ADP	36	case
36	pelotón	NOUN	34	nmod
37	.	PUNCT	12	punct