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:
Fullana entró en meta a 33 segundos de la campeona italiana, que cubrió los 35,7 kilómetros del recorrido olímpico en un tiempo de una hora, 49 minutos y 24 segundos, con una ventaja de 27 segundos sobre Barbara Blatter, que regresará a Suiza con una medalla de plata.
Postion	Tokenization
1	Fullana
2	entró
3	en
4	meta
5	a
6	33
7	segundos
8	de
9	la
10	campeona
11	italiana
12	,
13	que
14	cubrió
15	los
16	35,7
17	kilómetros
18	del
19	recorrido
20	olímpico
21	en
22	un
23	tiempo
24	de
25	una
26	hora
27	,
28	49
29	minutos
30	y
31	24
32	segundos
33	,
34	con
35	una
36	ventaja
37	de
38	27
39	segundos
40	sobre
41	Barbara
42	Blatter
43	,
44	que
45	regresará
46	a
47	Suiza
48	con
49	una
50	medalla
51	de
52	plata
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Fullana	PROPN	2	nsubj
2	entró	VERB	0	root
3	en	ADP	4	case
4	meta	NOUN	2	obl
5	a	ADP	7	case
6	33	NUM	7	nummod
7	segundos	NOUN	2	obl
8	de	ADP	10	case
9	la	DET	10	det
10	campeona	NOUN	7	nmod
11	italiana	ADJ	10	amod
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	cubrió	VERB	10	acl
15	los	DET	16	det
16	35,7	NUM	17	nummod
17	kilómetros	NOUN	14	obj
18	del	ADP	19	case
19	recorrido	NOUN	17	nmod
20	olímpico	ADJ	19	amod
21	en	ADP	23	case
22	un	DET	23	det
23	tiempo	NOUN	14	obl
24	de	ADP	26	case
25	una	DET	26	det
26	hora	NOUN	23	nmod
27	,	PUNCT	29	punct
28	49	NUM	29	nummod
29	minutos	NOUN	26	appos
30	y	CCONJ	32	cc
31	24	NUM	32	nummod
32	segundos	NOUN	26	conj
33	,	PUNCT	36	punct
34	con	ADP	36	case
35	una	DET	36	det
36	ventaja	NOUN	23	nmod
37	de	ADP	39	case
38	27	NUM	39	nummod
39	segundos	NOUN	36	nmod
40	sobre	ADP	41	case
41	Barbara	PROPN	36	nmod
42	Blatter	PROPN	41	flat
43	,	PUNCT	45	punct
44	que	PRON	45	nsubj
45	regresará	VERB	41	acl
46	a	ADP	47	case
47	Suiza	PROPN	45	obl
48	con	ADP	50	case
49	una	DET	50	det
50	medalla	NOUN	45	obl
51	de	ADP	52	case
52	plata	NOUN	50	nmod
53	.	PUNCT	2	punct