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:
Giorni felici tiene como protagonista a Winnie, una mujer enterrada en la arena de un desierto que habla sin parar: "Sabe que hablar significa mantenerse a flote y se rebela, lucha frenéticamente, desesperadamente, contra la situación", explicó Giulia Lazzarini, la actriz que encarna el personaje.
Postion	Tokenization
1	Giorni
2	felici
3	tiene
4	como
5	protagonista
6	a
7	Winnie
8	,
9	una
10	mujer
11	enterrada
12	en
13	la
14	arena
15	de
16	un
17	desierto
18	que
19	habla
20	sin
21	parar
22	:
23	"
24	Sabe
25	que
26	hablar
27	significa
28	mantenerse
29	mantener
30	se
31	a
32	flote
33	y
34	se
35	rebela
36	,
37	lucha
38	frenéticamente
39	,
40	desesperadamente
41	,
42	contra
43	la
44	situación
45	"
46	,
47	explicó
48	Giulia
49	Lazzarini
50	,
51	la
52	actriz
53	que
54	encarna
55	el
56	personaje
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Giorni	PROPN	3	nsubj
2	felici	PROPN	1	flat
3	tiene	VERB	0	root
4	como	SCONJ	5	mark
5	protagonista	NOUN	3	obj
6	a	ADP	7	case
7	Winnie	PROPN	3	obj
8	,	PUNCT	10	punct
9	una	DET	10	det
10	mujer	NOUN	7	appos
11	enterrada	ADJ	10	amod
12	en	ADP	14	case
13	la	DET	14	det
14	arena	NOUN	11	obl
15	de	ADP	17	case
16	un	DET	17	det
17	desierto	NOUN	14	nmod
18	que	PRON	19	nsubj
19	habla	VERB	10	acl
20	sin	ADP	21	mark
21	parar	VERB	19	advcl
22	:	PUNCT	46	punct
23	"	PUNCT	24	punct
24	Sabe	VERB	46	ccomp
25	que	SCONJ	27	mark
26	hablar	VERB	27	csubj
27	significa	VERB	24	ccomp
28	mantenerse	_	None	_
29	mantener	VERB	27	xcomp
30	se	PRON	28	obj
31	a	ADP	28	obj
32	flote	NOUN	30	fixed
33	y	CCONJ	34	cc
34	se	PRON	34	expl:pv
35	rebela	VERB	24	conj
36	,	PUNCT	34	punct
37	lucha	VERB	34	advcl
38	frenéticamente	ADV	36	advmod
39	,	PUNCT	39	punct
40	desesperadamente	ADV	37	conj
41	,	PUNCT	43	punct
42	contra	ADP	43	case
43	la	DET	43	det
44	situación	NOUN	36	obj
45	"	PUNCT	24	punct
46	,	PUNCT	24	punct
47	explicó	VERB	19	advcl
48	Giulia	PROPN	46	nsubj
49	Lazzarini	PROPN	47	flat
50	,	PUNCT	51	punct
51	la	DET	51	det
52	actriz	NOUN	47	appos
53	que	PRON	53	nsubj
54	encarna	VERB	51	acl
55	el	DET	55	det
56	personaje	NOUN	53	obj
57	.	PUNCT	3	punct