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:
Después de triunfar merecidamente en su segunda película como directora - - Flores de otro mundo (1999) - -, Icíar Bollaín Pérez-Mínguez (Madrid, 12-6-1967) vuelve a su faceta de actriz con el estreno de Leo, un filme de José Luis Borau escrito expresamente para ella y pensando en ella.
Postion	Tokenization
1	Después
2	de
3	triunfar
4	merecidamente
5	en
6	su
7	segunda
8	película
9	como
10	directora
11	-
12	-
13	Flores
14	de
15	otro
16	mundo
17	(
18	1999
19	)
20	-
21	-
22	,
23	Icíar
24	Bollaín
25	Pérez-Mínguez
26	(
27	Madrid
28	,
29	12-6-1967
30	)
31	vuelve
32	a
33	su
34	faceta
35	de
36	actriz
37	con
38	el
39	estreno
40	de
41	Leo
42	,
43	un
44	filme
45	de
46	José
47	Luis
48	Borau
49	escrito
50	expresamente
51	para
52	ella
53	y
54	pensando
55	en
56	ella
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	31	advmod
2	de	ADP	3	mark
3	triunfar	VERB	1	advcl
4	merecidamente	ADV	3	advmod
5	en	ADP	8	case
6	su	DET	8	det
7	segunda	ADJ	8	amod
8	película	NOUN	3	obl
9	como	SCONJ	10	mark
10	directora	NOUN	8	nmod
11	-	PUNCT	13	punct
12	-	PUNCT	13	punct
13	Flores	PROPN	8	appos
14	de	ADP	15	case
15	otro	ADJ	13	flat
16	mundo	PROPN	15	flat
17	(	PUNCT	18	punct
18	1999	NOUN	13	appos
19	)	PUNCT	18	punct
20	-	PUNCT	13	punct
21	-	PUNCT	13	punct
22	,	PUNCT	1	punct
23	Icíar	PROPN	31	nsubj
24	Bollaín	PROPN	23	flat
25	Pérez-Mínguez	PROPN	23	flat
26	(	PUNCT	27	punct
27	Madrid	PROPN	23	nmod
28	,	PUNCT	27	punct
29	12-6-1967	NOUN	27	appos
30	)	PUNCT	27	punct
31	vuelve	VERB	0	root
32	a	ADP	34	case
33	su	DET	34	det
34	faceta	NOUN	31	obl
35	de	ADP	36	case
36	actriz	NOUN	34	nmod
37	con	ADP	39	case
38	el	DET	39	det
39	estreno	NOUN	31	obl
40	de	ADP	41	case
41	Leo	PROPN	39	nmod
42	,	PUNCT	44	punct
43	un	DET	44	det
44	filme	NOUN	41	appos
45	de	ADP	46	case
46	José	PROPN	44	nmod
47	Luis	PROPN	46	flat
48	Borau	PROPN	46	flat
49	escrito	ADJ	44	amod
50	expresamente	ADV	49	advmod
51	para	ADP	52	case
52	ella	PRON	49	obj
53	y	CCONJ	54	cc
54	pensando	VERB	49	conj
55	en	ADP	56	case
56	ella	PRON	54	obj
57	.	PUNCT	31	punct