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:
Fue el hombre que rivalizó con Fausto Coppi y cuyos duelos dividieron a Italia, pero no a ellos, que incluso dieron lecciones al mundo ayudándose, aunque sin dirigirse la palabra.
Postion	Tokenization
1	Fue
2	el
3	hombre
4	que
5	rivalizó
6	con
7	Fausto
8	Coppi
9	y
10	cuyos
11	duelos
12	dividieron
13	a
14	Italia
15	,
16	pero
17	no
18	a
19	ellos
20	,
21	que
22	incluso
23	dieron
24	lecciones
25	al
26	mundo
27	ayudándose
28	ayudando
29	se
30	,
31	aunque
32	sin
33	dirigirse
34	dirigir
35	se
36	la
37	palabra
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Fue	AUX	0	root
2	el	DET	3	det
3	hombre	NOUN	1	obj
4	que	PRON	5	nsubj
5	rivalizó	VERB	3	acl
6	con	ADP	7	case
7	Fausto	PROPN	5	obl
8	Coppi	PROPN	7	flat
9	y	CCONJ	12	cc
10	cuyos	PRON	11	nmod
11	duelos	NOUN	12	nsubj
12	dividieron	VERB	5	conj
13	a	ADP	14	case
14	Italia	PROPN	12	obj
15	,	PUNCT	17	punct
16	pero	CCONJ	17	cc
17	no	ADV	12	conj
18	a	ADP	17	case
19	ellos	PRON	17	nmod
20	,	PUNCT	23	punct
21	que	PRON	23	nsubj
22	incluso	ADV	23	advmod
23	dieron	VERB	19	acl
24	lecciones	NOUN	23	obj
25	al	ADP	26	case
26	mundo	NOUN	23	obj
27	ayudándose	_	None	_
28	ayudando	VERB	23	advcl
29	se	PRON	27	obj
30	,	PUNCT	32	punct
31	aunque	SCONJ	32	mark
32	sin	ADP	30	fixed
33	dirigirse	_	None	_
34	dirigir	VERB	23	advcl
35	se	PRON	32	iobj
36	la	DET	35	det
37	palabra	NOUN	32	obj
38	.	PUNCT	1	punct