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:
Tres azafatas, una viuda joven en paro y una hermana sin oficio ni beneficio son las protagonistas de Jet lag, la nueva comedia de situación (sitcom) que hoy estrena TV-3, tras el Telenotícies vespre.
Postion	Tokenization
1	Tres
2	azafatas
3	,
4	una
5	viuda
6	joven
7	en
8	paro
9	y
10	una
11	hermana
12	sin
13	oficio
14	ni
15	beneficio
16	son
17	las
18	protagonistas
19	de
20	Jet
21	lag
22	,
23	la
24	nueva
25	comedia
26	de
27	situación
28	(
29	sitcom
30	)
31	que
32	hoy
33	estrena
34	TV-3
35	,
36	tras
37	el
38	Telenotícies
39	vespre
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Tres	NUM	2	nummod
2	azafatas	NOUN	18	nsubj
3	,	PUNCT	5	punct
4	una	DET	5	det
5	viuda	NOUN	2	appos
6	joven	ADJ	5	amod
7	en	ADP	8	case
8	paro	NOUN	5	nmod
9	y	CCONJ	11	cc
10	una	DET	11	det
11	hermana	NOUN	2	conj
12	sin	ADP	13	case
13	oficio	NOUN	11	nmod
14	ni	CCONJ	15	cc
15	beneficio	NOUN	13	conj
16	son	AUX	18	cop
17	las	DET	18	det
18	protagonistas	NOUN	0	root
19	de	ADP	20	case
20	Jet	PROPN	18	nmod
21	lag	PROPN	20	flat
22	,	PUNCT	25	punct
23	la	DET	25	det
24	nueva	ADJ	25	amod
25	comedia	NOUN	20	appos
26	de	ADP	27	case
27	situación	NOUN	25	nmod
28	(	PUNCT	29	punct
29	sitcom	NOUN	25	appos
30	)	PUNCT	29	punct
31	que	PRON	33	obj
32	hoy	ADV	33	advmod
33	estrena	VERB	25	acl
34	TV-3	PROPN	33	nsubj
35	,	PUNCT	38	punct
36	tras	ADP	38	case
37	el	DET	38	det
38	Telenotícies	PROPN	33	obl
39	vespre	PROPN	38	flat
40	.	PUNCT	18	punct