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:
Interpretó a un policía en L. A. Confidential, de Curtis Hanson - - un filme que le lanzó al estrellato - -, a un jugador de hockey en Mistery Alaska, de Jay Roach, y fue nominado para el Oscar por su papel en El dilema (The Insider) (Michael Mann).
Postion	Tokenization
1	Interpretó
2	a
3	un
4	policía
5	en
6	L.
7	A.
8	Confidential
9	,
10	de
11	Curtis
12	Hanson
13	-
14	-
15	un
16	filme
17	que
18	le
19	lanzó
20	al
21	estrellato
22	-
23	-
24	,
25	a
26	un
27	jugador
28	de
29	hockey
30	en
31	Mistery
32	Alaska
33	,
34	de
35	Jay
36	Roach
37	,
38	y
39	fue
40	nominado
41	para
42	el
43	Oscar
44	por
45	su
46	papel
47	en
48	El
49	dilema
50	(
51	The
52	Insider
53	)
54	(
55	Michael
56	Mann
57	)
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Interpretó	VERB	0	root
2	a	ADP	4	case
3	un	DET	4	det
4	policía	NOUN	1	obj
5	en	ADP	6	case
6	L.	PROPN	1	obl
7	A.	PROPN	6	flat
8	Confidential	PROPN	6	flat
9	,	PUNCT	11	punct
10	de	ADP	11	case
11	Curtis	PROPN	6	nmod
12	Hanson	PROPN	11	flat
13	-	PUNCT	16	punct
14	-	PUNCT	16	punct
15	un	DET	16	det
16	filme	NOUN	6	appos
17	que	PRON	19	nsubj
18	le	PRON	19	obj
19	lanzó	VERB	16	acl
20	al	ADP	21	case
21	estrellato	NOUN	19	obl
22	-	PUNCT	16	punct
23	-	PUNCT	16	punct
24	,	PUNCT	27	punct
25	a	ADP	27	case
26	un	DET	27	det
27	jugador	NOUN	1	obl
28	de	ADP	29	case
29	hockey	NOUN	27	nmod
30	en	ADP	31	case
31	Mistery	PROPN	27	nmod
32	Alaska	PROPN	31	flat
33	,	PUNCT	35	punct
34	de	ADP	35	case
35	Jay	PROPN	31	nmod
36	Roach	PROPN	35	flat
37	,	PUNCT	35	punct
38	y	CCONJ	40	cc
39	fue	AUX	40	aux
40	nominado	VERB	1	conj
41	para	ADP	43	case
42	el	DET	43	det
43	Oscar	PROPN	40	obl
44	por	ADP	46	case
45	su	DET	46	det
46	papel	NOUN	40	obl
47	en	ADP	49	case
48	El	DET	49	det
49	dilema	PROPN	46	nmod
50	(	PUNCT	51	punct
51	The	PROPN	48	appos
52	Insider	PROPN	51	flat
53	)	PUNCT	51	punct
54	(	PUNCT	55	punct
55	Michael	PROPN	48	appos
56	Mann	PROPN	55	flat
57	)	PUNCT	55	punct
58	.	PUNCT	1	punct