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:
Perestelo insistió en que una de las joyas de la isla, el parque de La Caldera de Taburiente, no se había visto afectado a pesar de que las llamas estuvieron próximas.
Postion	Tokenization
1	Perestelo
2	insistió
3	en
4	que
5	una
6	de
7	las
8	joyas
9	de
10	la
11	isla
12	,
13	el
14	parque
15	de
16	La
17	Caldera
18	de
19	Taburiente
20	,
21	no
22	se
23	había
24	visto
25	afectado
26	a
27	pesar
28	de
29	que
30	las
31	llamas
32	estuvieron
33	próximas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Perestelo	PROPN	2	nsubj
2	insistió	VERB	0	root
3	en	ADP	24	mark
4	que	SCONJ	24	mark
5	una	PRON	24	nsubj
6	de	ADP	8	case
7	las	DET	8	det
8	joyas	NOUN	5	nmod
9	de	ADP	11	case
10	la	DET	11	det
11	isla	NOUN	8	nmod
12	,	PUNCT	14	punct
13	el	DET	14	det
14	parque	NOUN	5	appos
15	de	ADP	17	case
16	La	DET	17	det
17	Caldera	PROPN	14	nmod
18	de	ADP	19	case
19	Taburiente	PROPN	16	flat
20	,	PUNCT	14	punct
21	no	ADV	24	advmod
22	se	PRON	24	expl:pv
23	había	AUX	24	aux
24	visto	VERB	2	ccomp
25	afectado	ADJ	24	obj
26	a	ADP	32	mark
27	pesar	NOUN	26	fixed
28	de	ADP	26	fixed
29	que	SCONJ	26	fixed
30	las	DET	31	det
31	llamas	NOUN	32	nsubj
32	estuvieron	VERB	24	advcl
33	próximas	ADJ	32	advmod
34	.	PUNCT	2	punct