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:
Para el dramaturgo, tras la imagen frívola de Dalí, que el mismo artista contribuyó a fomentar, se encuentra "no sólo un pintor excepcional, sino también un escritor remarcable y un auténtico provocador".
Postion	Tokenization
1	Para
2	el
3	dramaturgo
4	,
5	tras
6	la
7	imagen
8	frívola
9	de
10	Dalí
11	,
12	que
13	el
14	mismo
15	artista
16	contribuyó
17	a
18	fomentar
19	,
20	se
21	encuentra
22	"
23	no
24	sólo
25	un
26	pintor
27	excepcional
28	,
29	sino
30	también
31	un
32	escritor
33	remarcable
34	y
35	un
36	auténtico
37	provocador
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	dramaturgo	NOUN	21	obl
4	,	PUNCT	3	punct
5	tras	ADP	7	case
6	la	DET	7	det
7	imagen	NOUN	21	obl
8	frívola	ADJ	7	amod
9	de	ADP	10	case
10	Dalí	PROPN	7	nmod
11	,	PUNCT	16	punct
12	que	PRON	16	iobj
13	el	DET	15	det
14	mismo	DET	13	det
15	artista	NOUN	16	nsubj
16	contribuyó	VERB	7	acl
17	a	ADP	18	mark
18	fomentar	VERB	16	xcomp
19	,	PUNCT	16	punct
20	se	PRON	21	expl:pv
21	encuentra	VERB	0	root
22	"	PUNCT	21	punct
23	no	PART	26	cc
24	sólo	ADV	23	fixed
25	un	DET	26	det
26	pintor	NOUN	21	nsubj
27	excepcional	ADJ	26	amod
28	,	PUNCT	32	punct
29	sino	CCONJ	32	cc
30	también	NOUN	29	fixed
31	un	DET	32	det
32	escritor	NOUN	26	conj
33	remarcable	ADJ	32	amod
34	y	CCONJ	37	cc
35	un	DET	37	det
36	auténtico	ADJ	37	amod
37	provocador	NOUN	32	conj
38	"	PUNCT	21	punct
39	.	PUNCT	21	punct