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 ola de explosiones que ha padecido Salou en las últimas tres semanas ha desatado el temor de los vecinos de la Costa Daurada, muchos de los cuales han renunciado a visitar las playas.
Postion	Tokenization
1	La
2	ola
3	de
4	explosiones
5	que
6	ha
7	padecido
8	Salou
9	en
10	las
11	últimas
12	tres
13	semanas
14	ha
15	desatado
16	el
17	temor
18	de
19	los
20	vecinos
21	de
22	la
23	Costa
24	Daurada
25	,
26	muchos
27	de
28	los
29	cuales
30	han
31	renunciado
32	a
33	visitar
34	las
35	playas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ola	NOUN	15	nsubj
3	de	ADP	4	case
4	explosiones	NOUN	2	nmod
5	que	PRON	7	obj
6	ha	AUX	7	aux
7	padecido	VERB	2	acl
8	Salou	PROPN	7	nsubj
9	en	ADP	13	case
10	las	DET	13	det
11	últimas	ADJ	10	amod
12	tres	NUM	10	nummod
13	semanas	NOUN	7	obl
14	ha	AUX	15	aux
15	desatado	VERB	0	root
16	el	DET	17	det
17	temor	NOUN	15	obj
18	de	ADP	20	case
19	los	DET	20	det
20	vecinos	NOUN	17	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	Costa	PROPN	20	nmod
24	Daurada	PROPN	23	flat
25	,	PUNCT	31	punct
26	muchos	PRON	31	nsubj
27	de	ADP	29	case
28	los	DET	29	det
29	cuales	PRON	26	nmod
30	han	AUX	31	aux
31	renunciado	VERB	20	acl
32	a	ADP	33	mark
33	visitar	VERB	31	xcomp
34	las	DET	35	det
35	playas	NOUN	33	obj
36	.	PUNCT	15	punct