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:
La dirección del Instituto Pau Vila, donde el adolescente estudia cuarto curso de ESO, condenó ayer el suceso y mostró su preocupación por la proliferación de "ataques más o menos graves" a jóvenes.
Postion	Tokenization
1	La
2	dirección
3	del
4	Instituto
5	Pau
6	Vila
7	,
8	donde
9	el
10	adolescente
11	estudia
12	cuarto
13	curso
14	de
15	ESO
16	,
17	condenó
18	ayer
19	el
20	suceso
21	y
22	mostró
23	su
24	preocupación
25	por
26	la
27	proliferación
28	de
29	"
30	ataques
31	más
32	o
33	menos
34	graves
35	"
36	a
37	jóvenes
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	dirección	NOUN	17	nsubj
3	del	ADP	4	case
4	Instituto	PROPN	2	nmod
5	Pau	PROPN	4	flat
6	Vila	PROPN	4	flat
7	,	PUNCT	11	punct
8	donde	PRON	11	obl
9	el	DET	10	det
10	adolescente	NOUN	11	nsubj
11	estudia	VERB	4	acl
12	cuarto	ADJ	13	amod
13	curso	NOUN	11	obj
14	de	ADP	15	case
15	ESO	PROPN	13	nmod
16	,	PUNCT	11	punct
17	condenó	VERB	0	root
18	ayer	ADV	17	advmod
19	el	DET	20	det
20	suceso	NOUN	17	obj
21	y	CCONJ	22	cc
22	mostró	VERB	17	conj
23	su	DET	24	det
24	preocupación	NOUN	22	obj
25	por	ADP	27	case
26	la	DET	27	det
27	proliferación	NOUN	24	nmod
28	de	ADP	30	case
29	"	PUNCT	30	punct
30	ataques	NOUN	27	nmod
31	más	ADV	34	advmod
32	o	CCONJ	33	cc
33	menos	ADV	31	conj
34	graves	ADJ	30	amod
35	"	PUNCT	30	punct
36	a	ADP	37	case
37	jóvenes	NOUN	30	nmod
38	.	PUNCT	17	punct