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:
Entre un impresionante despliegue de seguridad, que anticipa el que se prevé para la cumbre de Barcelona, pero con apenas seis ministros de los 13 anunciados, los representantes de industria e investigación de los Quince pactaron cómo convertir a las pymes y los emprendedores en los dardos con los que asaetear el poderío tecnológico de EEUU y Japón, las principales potencias.
Postion	Tokenization
1	Entre
2	un
3	impresionante
4	despliegue
5	de
6	seguridad
7	,
8	que
9	anticipa
10	el
11	que
12	se
13	prevé
14	para
15	la
16	cumbre
17	de
18	Barcelona
19	,
20	pero
21	con
22	apenas
23	seis
24	ministros
25	de
26	los
27	13
28	anunciados
29	,
30	los
31	representantes
32	de
33	industria
34	e
35	investigación
36	de
37	los
38	Quince
39	pactaron
40	cómo
41	convertir
42	a
43	las
44	pymes
45	y
46	los
47	emprendedores
48	en
49	los
50	dardos
51	con
52	los
53	que
54	asaetear
55	el
56	poderío
57	tecnológico
58	de
59	EEUU
60	y
61	Japón
62	,
63	las
64	principales
65	potencias
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	4	case
2	un	DET	4	det
3	impresionante	ADJ	4	amod
4	despliegue	NOUN	39	obl
5	de	ADP	6	case
6	seguridad	NOUN	4	nmod
7	,	PUNCT	9	punct
8	que	PRON	9	nsubj
9	anticipa	VERB	4	acl
10	el	DET	13	det
11	que	PRON	13	nsubj
12	se	PRON	13	expl:pass
13	prevé	VERB	9	ccomp
14	para	ADP	16	case
15	la	DET	16	det
16	cumbre	NOUN	13	obl
17	de	ADP	18	case
18	Barcelona	PROPN	16	nmod
19	,	PUNCT	24	punct
20	pero	CCONJ	24	cc
21	con	ADP	24	case
22	apenas	ADV	24	advmod
23	seis	NUM	24	nummod
24	ministros	NOUN	9	conj
25	de	ADP	28	case
26	los	DET	27	det
27	13	NUM	28	nummod
28	anunciados	ADJ	24	amod
29	,	PUNCT	9	punct
30	los	DET	31	det
31	representantes	NOUN	39	nsubj
32	de	ADP	33	case
33	industria	NOUN	31	nmod
34	e	CCONJ	35	cc
35	investigación	NOUN	33	conj
36	de	ADP	38	case
37	los	DET	38	det
38	Quince	PROPN	31	nmod
39	pactaron	VERB	0	root
40	cómo	PRON	41	obl
41	convertir	VERB	39	xcomp
42	a	ADP	44	case
43	las	DET	44	det
44	pymes	NOUN	41	obj
45	y	CCONJ	47	cc
46	los	DET	47	det
47	emprendedores	NOUN	44	conj
48	en	ADP	50	case
49	los	DET	50	det
50	dardos	NOUN	41	obj
51	con	ADP	53	case
52	los	DET	53	det
53	que	PRON	54	obl
54	asaetear	VERB	50	acl
55	el	DET	56	det
56	poderío	NOUN	54	obj
57	tecnológico	ADJ	56	amod
58	de	ADP	59	case
59	EEUU	PROPN	56	nmod
60	y	CCONJ	61	cc
61	Japón	PROPN	59	conj
62	,	PUNCT	65	punct
63	las	DET	65	det
64	principales	ADJ	65	amod
65	potencias	NOUN	59	appos
66	.	PUNCT	39	punct