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:
Blatter abrió un hueco que fue de 17 segundos tras el segundo giro y que llegó a rozar el medio minuto en su amplitud máxima, pero a falta de dos kilómetros para completar la tercera vuelta, la ciclista balear enlazó con la suiza y la superó colocándose al frente de la prueba.
Postion	Tokenization
1	Blatter
2	abrió
3	un
4	hueco
5	que
6	fue
7	de
8	17
9	segundos
10	tras
11	el
12	segundo
13	giro
14	y
15	que
16	llegó
17	a
18	rozar
19	el
20	medio
21	minuto
22	en
23	su
24	amplitud
25	máxima
26	,
27	pero
28	a
29	falta
30	de
31	dos
32	kilómetros
33	para
34	completar
35	la
36	tercera
37	vuelta
38	,
39	la
40	ciclista
41	balear
42	enlazó
43	con
44	la
45	suiza
46	y
47	la
48	superó
49	colocándose
50	colocando
51	se
52	al
53	frente
54	de
55	la
56	prueba
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Blatter	PROPN	2	nsubj
2	abrió	VERB	0	root
3	un	DET	4	det
4	hueco	NOUN	2	obj
5	que	PRON	9	nsubj
6	fue	AUX	9	cop
7	de	ADP	9	case
8	17	NUM	9	nummod
9	segundos	NOUN	4	acl
10	tras	ADP	13	case
11	el	DET	13	det
12	segundo	ADJ	13	amod
13	giro	NOUN	9	obl
14	y	CCONJ	16	cc
15	que	PRON	16	nsubj
16	llegó	VERB	9	conj
17	a	ADP	18	mark
18	rozar	VERB	16	xcomp
19	el	DET	21	det
20	medio	NUM	19	nummod
21	minuto	NOUN	18	obj
22	en	ADP	24	case
23	su	DET	24	det
24	amplitud	NOUN	16	obl
25	máxima	ADJ	24	amod
26	,	PUNCT	42	punct
27	pero	CCONJ	42	cc
28	a	ADP	32	case
29	falta	NOUN	28	fixed
30	de	ADP	28	fixed
31	dos	NUM	32	nummod
32	kilómetros	NOUN	42	obl
33	para	ADP	34	mark
34	completar	VERB	32	acl
35	la	DET	37	det
36	tercera	ADJ	37	amod
37	vuelta	NOUN	34	obj
38	,	PUNCT	32	punct
39	la	DET	40	det
40	ciclista	NOUN	42	nsubj
41	balear	ADJ	40	amod
42	enlazó	VERB	2	conj
43	con	ADP	45	case
44	la	DET	45	det
45	suiza	NOUN	42	obj
46	y	CCONJ	48	cc
47	la	PRON	48	obj
48	superó	VERB	42	conj
49	colocándose	_	None	_
50	colocando	VERB	48	advcl
51	se	PRON	49	expl:pv
52	al	ADP	55	case
53	frente	NOUN	51	fixed
54	de	ADP	51	fixed
55	la	DET	55	det
56	prueba	NOUN	49	obl
57	.	PUNCT	2	punct