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:
En ambas películas encontramos un personaje central de actitud ambigua - - allí era el picapleitos encarnado por Ian Holm, aquí un experto en caterings con el que Bob Hoskins ha conseguido uno de los papeles de su vida - -, y en los dos filmes la atmósfera, pese a la cotidianidad de los personajes y el trazo dramático, genera una tensión insostenible.
Postion	Tokenization
1	En
2	ambas
3	películas
4	encontramos
5	un
6	personaje
7	central
8	de
9	actitud
10	ambigua
11	-
12	-
13	allí
14	era
15	el
16	picapleitos
17	encarnado
18	por
19	Ian
20	Holm
21	,
22	aquí
23	un
24	experto
25	en
26	caterings
27	con
28	el
29	que
30	Bob
31	Hoskins
32	ha
33	conseguido
34	uno
35	de
36	los
37	papeles
38	de
39	su
40	vida
41	-
42	-
43	,
44	y
45	en
46	los
47	dos
48	filmes
49	la
50	atmósfera
51	,
52	pese
53	a
54	la
55	cotidianidad
56	de
57	los
58	personajes
59	y
60	el
61	trazo
62	dramático
63	,
64	genera
65	una
66	tensión
67	insostenible
68	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ambas	NUM	3	nummod
3	películas	NOUN	4	obl
4	encontramos	VERB	0	root
5	un	DET	6	det
6	personaje	NOUN	4	obj
7	central	ADJ	6	amod
8	de	ADP	9	case
9	actitud	NOUN	6	nmod
10	ambigua	ADJ	9	amod
11	-	PUNCT	16	punct
12	-	PUNCT	16	punct
13	allí	ADV	16	advmod
14	era	AUX	16	cop
15	el	DET	16	det
16	picapleitos	NOUN	6	acl
17	encarnado	ADJ	16	amod
18	por	ADP	19	case
19	Ian	PROPN	17	obj
20	Holm	PROPN	19	flat
21	,	PUNCT	16	punct
22	aquí	ADV	24	advmod
23	un	DET	24	det
24	experto	NOUN	16	obl
25	en	ADP	26	case
26	caterings	NOUN	24	nmod
27	con	ADP	29	case
28	el	DET	29	det
29	que	PRON	33	obl
30	Bob	PROPN	33	nsubj
31	Hoskins	PROPN	30	flat
32	ha	AUX	33	aux
33	conseguido	VERB	24	acl
34	uno	PRON	33	obj
35	de	ADP	37	case
36	los	DET	37	det
37	papeles	NOUN	34	nmod
38	de	ADP	40	case
39	su	DET	40	det
40	vida	NOUN	37	nmod
41	-	PUNCT	16	punct
42	-	PUNCT	16	punct
43	,	PUNCT	64	punct
44	y	CCONJ	64	cc
45	en	ADP	48	case
46	los	DET	48	det
47	dos	NUM	46	nummod
48	filmes	NOUN	64	obl
49	la	DET	50	det
50	atmósfera	NOUN	64	nsubj
51	,	PUNCT	55	punct
52	pese	NOUN	55	case
53	a	ADP	52	fixed
54	la	DET	55	det
55	cotidianidad	NOUN	64	obl
56	de	ADP	58	case
57	los	DET	58	det
58	personajes	NOUN	55	nmod
59	y	CCONJ	61	cc
60	el	DET	61	det
61	trazo	NOUN	55	conj
62	dramático	ADJ	61	amod
63	,	PUNCT	55	punct
64	genera	VERB	4	conj
65	una	DET	66	det
66	tensión	NOUN	64	obj
67	insostenible	ADJ	66	amod
68	.	PUNCT	4	punct