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:
A este elenco femenino se suman dos varones: Albert Ribalta (Andreu), dócil y paciente novio de Esther, y Xavi Mira (Mario), que da vida al propietario de un bar, demasiado blando para unas mujeres con tanta personalidad.
Postion	Tokenization
1	A
2	este
3	elenco
4	femenino
5	se
6	suman
7	dos
8	varones
9	:
10	Albert
11	Ribalta
12	(
13	Andreu
14	)
15	,
16	dócil
17	y
18	paciente
19	novio
20	de
21	Esther
22	,
23	y
24	Xavi
25	Mira
26	(
27	Mario
28	)
29	,
30	que
31	da
32	vida
33	al
34	propietario
35	de
36	un
37	bar
38	,
39	demasiado
40	blando
41	para
42	unas
43	mujeres
44	con
45	tanta
46	personalidad
47	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	este	DET	3	det
3	elenco	NOUN	6	obj
4	femenino	ADJ	3	amod
5	se	PRON	6	expl:pv
6	suman	VERB	0	root
7	dos	NUM	8	nummod
8	varones	NOUN	6	nsubj
9	:	PUNCT	10	punct
10	Albert	PROPN	8	appos
11	Ribalta	PROPN	10	flat
12	(	PUNCT	13	punct
13	Andreu	PROPN	10	flat
14	)	PUNCT	13	punct
15	,	PUNCT	19	punct
16	dócil	ADJ	19	amod
17	y	CCONJ	18	cc
18	paciente	ADJ	16	conj
19	novio	NOUN	13	appos
20	de	ADP	21	case
21	Esther	PROPN	19	nmod
22	,	PUNCT	19	punct
23	y	CCONJ	24	cc
24	Xavi	PROPN	10	conj
25	Mira	PROPN	24	flat
26	(	PUNCT	27	punct
27	Mario	PROPN	24	flat
28	)	PUNCT	27	punct
29	,	PUNCT	31	punct
30	que	PRON	31	nsubj
31	da	VERB	24	acl
32	vida	NOUN	31	obj
33	al	ADP	34	case
34	propietario	NOUN	31	obj
35	de	ADP	37	case
36	un	DET	37	det
37	bar	NOUN	34	nmod
38	,	PUNCT	40	punct
39	demasiado	ADV	40	advmod
40	blando	ADJ	34	amod
41	para	ADP	43	case
42	unas	DET	43	det
43	mujeres	NOUN	40	nmod
44	con	ADP	46	case
45	tanta	DET	46	det
46	personalidad	NOUN	43	nmod
47	.	PUNCT	6	punct