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:
Las actrices que dan vida a estos personajes - - mujeres treintañeras, desinhibidas, con una relación afectiva inestable y peculiar, maniáticas, urbanas, conscientes de su poder y dispuestas a probar todo lo que la vida les ponga por delante - - son las componentes del grupo T de Teatre: Carme Pla (Sílvia), Marta Pérez (Esther), Agata Roca (Mariona), Míriam Iscla (Diana) y Mamen Duch (Carla).
Postion	Tokenization
1	Las
2	actrices
3	que
4	dan
5	vida
6	a
7	estos
8	personajes
9	-
10	-
11	mujeres
12	treintañeras
13	,
14	desinhibidas
15	,
16	con
17	una
18	relación
19	afectiva
20	inestable
21	y
22	peculiar
23	,
24	maniáticas
25	,
26	urbanas
27	,
28	conscientes
29	de
30	su
31	poder
32	y
33	dispuestas
34	a
35	probar
36	todo
37	lo
38	que
39	la
40	vida
41	les
42	ponga
43	por
44	delante
45	-
46	-
47	son
48	las
49	componentes
50	del
51	grupo
52	T
53	de
54	Teatre
55	:
56	Carme
57	Pla
58	(
59	Sílvia
60	)
61	,
62	Marta
63	Pérez
64	(
65	Esther
66	)
67	,
68	Agata
69	Roca
70	(
71	Mariona
72	)
73	,
74	Míriam
75	Iscla
76	(
77	Diana
78	)
79	y
80	Mamen
81	Duch
82	(
83	Carla
84	)
85	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	actrices	NOUN	49	nsubj
3	que	PRON	4	nsubj
4	dan	VERB	2	acl
5	vida	NOUN	4	obj
6	a	ADP	8	case
7	estos	DET	8	det
8	personajes	NOUN	4	obj
9	-	PUNCT	11	punct
10	-	PUNCT	11	punct
11	mujeres	NOUN	8	appos
12	treintañeras	ADJ	11	amod
13	,	PUNCT	14	punct
14	desinhibidas	ADJ	12	advmod
15	,	PUNCT	18	punct
16	con	ADP	18	case
17	una	DET	18	det
18	relación	NOUN	12	nmod
19	afectiva	ADJ	18	amod
20	inestable	ADJ	18	amod
21	y	CCONJ	22	cc
22	peculiar	ADJ	20	conj
23	,	PUNCT	24	punct
24	maniáticas	ADJ	12	amod
25	,	PUNCT	26	punct
26	urbanas	ADJ	12	amod
27	,	PUNCT	28	punct
28	conscientes	ADJ	12	amod
29	de	ADP	31	case
30	su	DET	31	det
31	poder	NOUN	28	nmod
32	y	CCONJ	33	cc
33	dispuestas	ADJ	12	conj
34	a	ADP	35	mark
35	probar	VERB	33	xcomp
36	todo	DET	37	det
37	lo	PRON	42	det
38	que	PRON	42	obj
39	la	DET	40	det
40	vida	NOUN	42	nsubj
41	les	PRON	42	obj
42	ponga	VERB	35	ccomp
43	por	ADP	44	case
44	delante	ADV	42	advmod
45	-	PUNCT	11	punct
46	-	PUNCT	11	punct
47	son	AUX	49	cop
48	las	DET	49	det
49	componentes	NOUN	0	root
50	del	ADP	51	case
51	grupo	NOUN	49	nmod
52	T	PROPN	51	appos
53	de	ADP	54	case
54	Teatre	PROPN	52	flat
55	:	PUNCT	56	punct
56	Carme	PROPN	49	appos
57	Pla	PROPN	56	flat
58	(	PUNCT	59	punct
59	Sílvia	PROPN	56	flat
60	)	PUNCT	59	punct
61	,	PUNCT	62	punct
62	Marta	PROPN	56	conj
63	Pérez	PROPN	62	flat
64	(	PUNCT	65	punct
65	Esther	PROPN	62	flat
66	)	PUNCT	65	punct
67	,	PUNCT	68	punct
68	Agata	PROPN	56	conj
69	Roca	PROPN	68	flat
70	(	PUNCT	71	punct
71	Mariona	PROPN	68	flat
72	)	PUNCT	71	punct
73	,	PUNCT	74	punct
74	Míriam	PROPN	56	conj
75	Iscla	PROPN	74	flat
76	(	PUNCT	77	punct
77	Diana	PROPN	74	flat
78	)	PUNCT	77	punct
79	y	CCONJ	80	cc
80	Mamen	PROPN	56	conj
81	Duch	PROPN	80	flat
82	(	PUNCT	83	punct
83	Carla	PROPN	80	flat
84	)	PUNCT	83	punct
85	.	PUNCT	49	punct