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:
Según el estudio realizado, con la ayuda de corresponsales del diario Eliseo Oliveras (Bruselas), Montserrat Capdevila (París) y Gonzalo Cáceres (Berlín), todos los productos son más baratos en España, con la excepción del modelo de Peugeot 306 más simple, que tiene el precio comparable en euros más bajo en Bruselas.
Postion	Tokenization
1	Según
2	el
3	estudio
4	realizado
5	,
6	con
7	la
8	ayuda
9	de
10	corresponsales
11	del
12	diario
13	Eliseo
14	Oliveras
15	(
16	Bruselas
17	)
18	,
19	Montserrat
20	Capdevila
21	(
22	París
23	)
24	y
25	Gonzalo
26	Cáceres
27	(
28	Berlín
29	)
30	,
31	todos
32	los
33	productos
34	son
35	más
36	baratos
37	en
38	España
39	,
40	con
41	la
42	excepción
43	del
44	modelo
45	de
46	Peugeot
47	306
48	más
49	simple
50	,
51	que
52	tiene
53	el
54	precio
55	comparable
56	en
57	euros
58	más
59	bajo
60	en
61	Bruselas
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	estudio	NOUN	36	obl
4	realizado	ADJ	3	amod
5	,	PUNCT	8	punct
6	con	ADP	8	case
7	la	DET	8	det
8	ayuda	NOUN	4	obl
9	de	ADP	10	case
10	corresponsales	NOUN	8	nmod
11	del	ADP	12	case
12	diario	NOUN	10	nmod
13	Eliseo	PROPN	10	appos
14	Oliveras	PROPN	13	flat
15	(	PUNCT	16	punct
16	Bruselas	PROPN	13	flat
17	)	PUNCT	16	punct
18	,	PUNCT	19	punct
19	Montserrat	PROPN	13	conj
20	Capdevila	PROPN	19	flat
21	(	PUNCT	22	punct
22	París	PROPN	19	flat
23	)	PUNCT	22	punct
24	y	CCONJ	25	cc
25	Gonzalo	PROPN	13	conj
26	Cáceres	PROPN	25	flat
27	(	PUNCT	28	punct
28	Berlín	PROPN	25	flat
29	)	PUNCT	28	punct
30	,	PUNCT	3	punct
31	todos	DET	32	det
32	los	DET	33	det
33	productos	NOUN	36	nsubj
34	son	AUX	36	cop
35	más	ADV	36	advmod
36	baratos	ADJ	0	root
37	en	ADP	38	case
38	España	PROPN	36	obl
39	,	PUNCT	42	punct
40	con	ADP	42	case
41	la	DET	42	det
42	excepción	NOUN	36	obl
43	del	ADP	44	case
44	modelo	NOUN	42	nmod
45	de	ADP	46	case
46	Peugeot	PROPN	44	nmod
47	306	NUM	46	nummod
48	más	ADV	49	advmod
49	simple	ADJ	44	amod
50	,	PUNCT	52	punct
51	que	PRON	52	nsubj
52	tiene	VERB	44	acl
53	el	DET	54	det
54	precio	NOUN	52	obj
55	comparable	ADJ	54	amod
56	en	ADP	57	case
57	euros	NOUN	54	nmod
58	más	ADV	59	advmod
59	bajo	ADJ	54	amod
60	en	ADP	61	case
61	Bruselas	PROPN	59	nmod
62	.	PUNCT	36	punct