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:
Una sinuosa etapa, con seis vueltas a un duro circuito, en el que la gran dificultad representaba la subida a San Martino in Vignola en Vignola (4,1 kilómetros al 4 por ciento desnivel), que resultó muy movida, con continuos intentos de escapada y donde se dejó ver en varias ocasiones el español Manuel Beltrán, del Mapei.
Postion	Tokenization
1	Una
2	sinuosa
3	etapa
4	,
5	con
6	seis
7	vueltas
8	a
9	un
10	duro
11	circuito
12	,
13	en
14	el
15	que
16	la
17	gran
18	dificultad
19	representaba
20	la
21	subida
22	a
23	San
24	Martino
25	in
26	Vignola
27	en
28	Vignola
29	(
30	4,1
31	kilómetros
32	al
33	4
34	por
35	ciento
36	desnivel
37	)
38	,
39	que
40	resultó
41	muy
42	movida
43	,
44	con
45	continuos
46	intentos
47	de
48	escapada
49	y
50	donde
51	se
52	dejó
53	ver
54	en
55	varias
56	ocasiones
57	el
58	español
59	Manuel
60	Beltrán
61	,
62	del
63	Mapei
64	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	3	det
2	sinuosa	ADJ	3	amod
3	etapa	NOUN	0	root
4	,	PUNCT	7	punct
5	con	ADP	7	case
6	seis	NUM	7	nummod
7	vueltas	NOUN	3	nmod
8	a	ADP	11	case
9	un	DET	11	det
10	duro	ADJ	11	amod
11	circuito	NOUN	7	nmod
12	,	PUNCT	19	punct
13	en	ADP	15	case
14	el	DET	15	det
15	que	PRON	19	obl
16	la	DET	18	det
17	gran	ADJ	18	amod
18	dificultad	NOUN	19	nsubj
19	representaba	VERB	11	acl
20	la	DET	21	det
21	subida	NOUN	19	obj
22	a	ADP	23	case
23	San	PROPN	21	nmod
24	Martino	PROPN	23	flat
25	in	ADP	26	case
26	Vignola	PROPN	23	flat
27	en	ADP	28	case
28	Vignola	PROPN	21	nmod
29	(	PUNCT	31	punct
30	4,1	NUM	31	nummod
31	kilómetros	NOUN	21	appos
32	al	ADP	33	case
33	4	NUM	31	nummod
34	por	ADP	35	case
35	ciento	NUM	33	compound
36	desnivel	NOUN	33	appos
37	)	PUNCT	31	punct
38	,	PUNCT	40	punct
39	que	PRON	40	nsubj
40	resultó	VERB	21	acl
41	muy	ADV	42	advmod
42	movida	ADJ	40	obj
43	,	PUNCT	46	punct
44	con	ADP	46	case
45	continuos	ADJ	46	amod
46	intentos	NOUN	40	obl
47	de	ADP	48	case
48	escapada	NOUN	46	nmod
49	y	CCONJ	52	cc
50	donde	PRON	52	obl
51	se	PRON	52	expl:pass
52	dejó	VERB	40	conj
53	ver	VERB	52	xcomp
54	en	ADP	56	case
55	varias	DET	56	det
56	ocasiones	NOUN	52	obl
57	el	DET	58	det
58	español	NOUN	52	nsubj
59	Manuel	PROPN	58	appos
60	Beltrán	PROPN	59	flat
61	,	PUNCT	63	punct
62	del	ADP	63	case
63	Mapei	PROPN	58	nmod
64	.	PUNCT	3	punct