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:
El agente de la excéntrica artista (en la foto de arriba) dio ayer parte casi con cuentagotas de la noticia: reveló que Björk, de 36 años, espera tener el niño el próximo septiembre y que el padre de la criatura es su actual pareja, el norteamericano Matthew Barney, escultor y director de cine.
Postion	Tokenization
1	El
2	agente
3	de
4	la
5	excéntrica
6	artista
7	(
8	en
9	la
10	foto
11	de
12	arriba
13	)
14	dio
15	ayer
16	parte
17	casi
18	con
19	cuentagotas
20	de
21	la
22	noticia
23	:
24	reveló
25	que
26	Björk
27	,
28	de
29	36
30	años
31	,
32	espera
33	tener
34	el
35	niño
36	el
37	próximo
38	septiembre
39	y
40	que
41	el
42	padre
43	de
44	la
45	criatura
46	es
47	su
48	actual
49	pareja
50	,
51	el
52	norteamericano
53	Matthew
54	Barney
55	,
56	escultor
57	y
58	director
59	de
60	cine
61	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	agente	NOUN	14	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	excéntrica	NOUN	2	nmod
6	artista	ADJ	5	amod
7	(	PUNCT	10	punct
8	en	ADP	10	case
9	la	DET	10	det
10	foto	NOUN	2	nmod
11	de	ADP	12	case
12	arriba	ADV	10	advmod
13	)	PUNCT	10	punct
14	dio	VERB	0	root
15	ayer	ADV	14	advmod
16	parte	NOUN	14	obj
17	casi	ADV	14	advmod
18	con	ADP	17	case
19	cuentagotas	NOUN	17	nmod
20	de	ADP	22	case
21	la	DET	22	det
22	noticia	NOUN	14	obj
23	:	PUNCT	24	punct
24	reveló	VERB	14	advcl
25	que	SCONJ	32	mark
26	Björk	PROPN	32	nsubj
27	,	PUNCT	30	punct
28	de	ADP	30	case
29	36	NUM	30	nummod
30	años	NOUN	26	nmod
31	,	PUNCT	30	punct
32	espera	VERB	24	ccomp
33	tener	VERB	32	xcomp
34	el	DET	35	det
35	niño	NOUN	33	obj
36	el	DET	38	det
37	próximo	ADJ	38	amod
38	septiembre	NOUN	33	obl
39	y	CCONJ	49	cc
40	que	SCONJ	49	mark
41	el	DET	42	det
42	padre	NOUN	49	nsubj
43	de	ADP	45	case
44	la	DET	45	det
45	criatura	NOUN	42	nmod
46	es	AUX	49	cop
47	su	DET	49	det
48	actual	ADJ	49	amod
49	pareja	NOUN	32	conj
50	,	PUNCT	52	punct
51	el	DET	52	det
52	norteamericano	NOUN	49	appos
53	Matthew	PROPN	52	appos
54	Barney	PROPN	53	flat
55	,	PUNCT	52	punct
56	escultor	NOUN	49	appos
57	y	CCONJ	58	cc
58	director	NOUN	56	conj
59	de	ADP	60	case
60	cine	NOUN	58	nmod
61	.	PUNCT	14	punct