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:
En Vitoria, 600 personas guardaron 15 minutos de silencio, rotos por una salva de aplausos, como muestra de dolor y de condena por la muerte de Jáuregui.
Postion	Tokenization
1	En
2	Vitoria
3	,
4	600
5	personas
6	guardaron
7	15
8	minutos
9	de
10	silencio
11	,
12	rotos
13	por
14	una
15	salva
16	de
17	aplausos
18	,
19	como
20	muestra
21	de
22	dolor
23	y
24	de
25	condena
26	por
27	la
28	muerte
29	de
30	Jáuregui
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Vitoria	PROPN	6	obl
3	,	PUNCT	2	punct
4	600	NUM	5	nummod
5	personas	NOUN	6	nsubj
6	guardaron	VERB	0	root
7	15	NUM	8	nummod
8	minutos	NOUN	6	obj
9	de	ADP	10	case
10	silencio	NOUN	8	nmod
11	,	PUNCT	12	punct
12	rotos	ADJ	8	amod
13	por	ADP	15	case
14	una	DET	15	det
15	salva	NOUN	12	obj
16	de	ADP	17	case
17	aplausos	NOUN	15	nmod
18	,	PUNCT	12	punct
19	como	SCONJ	20	mark
20	muestra	NOUN	6	obl
21	de	ADP	22	case
22	dolor	NOUN	20	nmod
23	y	CCONJ	25	cc
24	de	ADP	25	case
25	condena	NOUN	22	conj
26	por	ADP	28	case
27	la	DET	28	det
28	muerte	NOUN	20	nmod
29	de	ADP	30	case
30	Jáuregui	PROPN	28	nmod
31	.	PUNCT	6	punct