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 la obra, Dalí, interpretado por el actor Ramon Fontseré, se encuentra con personajes que marcaron su vida, como Picasso, Miró (representado por una niña) y Velázquez (quien le comenta las dificultades que tuvo para dibujar Las Meninas).
Postion	Tokenization
1	En
2	la
3	obra
4	,
5	Dalí
6	,
7	interpretado
8	por
9	el
10	actor
11	Ramon
12	Fontseré
13	,
14	se
15	encuentra
16	con
17	personajes
18	que
19	marcaron
20	su
21	vida
22	,
23	como
24	Picasso
25	,
26	Miró
27	(
28	representado
29	por
30	una
31	niña
32	)
33	y
34	Velázquez
35	(
36	quien
37	le
38	comenta
39	las
40	dificultades
41	que
42	tuvo
43	para
44	dibujar
45	Las
46	Meninas
47	)
48	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	obra	NOUN	15	obl
4	,	PUNCT	3	punct
5	Dalí	PROPN	15	nsubj
6	,	PUNCT	7	punct
7	interpretado	ADJ	5	amod
8	por	ADP	10	case
9	el	DET	10	det
10	actor	NOUN	7	obj
11	Ramon	PROPN	10	appos
12	Fontseré	PROPN	11	flat
13	,	PUNCT	7	punct
14	se	PRON	15	expl:pv
15	encuentra	VERB	0	root
16	con	ADP	17	case
17	personajes	NOUN	15	obj
18	que	PRON	19	nsubj
19	marcaron	VERB	17	acl
20	su	DET	21	det
21	vida	NOUN	19	obj
22	,	PUNCT	24	punct
23	como	SCONJ	24	mark
24	Picasso	PROPN	17	nmod
25	,	PUNCT	26	punct
26	Miró	PROPN	24	conj
27	(	PUNCT	28	punct
28	representado	ADJ	26	amod
29	por	ADP	31	case
30	una	DET	31	det
31	niña	NOUN	28	obj
32	)	PUNCT	28	punct
33	y	CCONJ	34	cc
34	Velázquez	PROPN	24	conj
35	(	PUNCT	38	punct
36	quien	PRON	38	nsubj
37	le	PRON	38	obj
38	comenta	VERB	34	acl
39	las	DET	40	det
40	dificultades	NOUN	38	obj
41	que	PRON	42	obj
42	tuvo	VERB	40	acl
43	para	ADP	44	mark
44	dibujar	VERB	42	advcl
45	Las	DET	46	det
46	Meninas	PROPN	44	obj
47	)	PUNCT	38	punct
48	.	PUNCT	15	punct