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:
El fuego, que comenzó a las 20.00 horas a consecuencia de una tormenta seca que descargó rayos en la sierra de Sarsa, había calcinado cerca de 500 hectáreas de monte bajo y de pinos.
Postion	Tokenization
1	El
2	fuego
3	,
4	que
5	comenzó
6	a
7	las
8	20.00
9	horas
10	a
11	consecuencia
12	de
13	una
14	tormenta
15	seca
16	que
17	descargó
18	rayos
19	en
20	la
21	sierra
22	de
23	Sarsa
24	,
25	había
26	calcinado
27	cerca
28	de
29	500
30	hectáreas
31	de
32	monte
33	bajo
34	y
35	de
36	pinos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	fuego	NOUN	26	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	comenzó	VERB	2	acl
6	a	ADP	9	case
7	las	DET	8	det
8	20.00	NOUN	9	nmod
9	horas	NOUN	5	obl
10	a	ADP	14	case
11	consecuencia	NOUN	10	fixed
12	de	ADP	10	fixed
13	una	DET	14	det
14	tormenta	NOUN	5	obl
15	seca	ADJ	14	amod
16	que	PRON	17	nsubj
17	descargó	VERB	14	acl
18	rayos	NOUN	17	obj
19	en	ADP	21	case
20	la	DET	21	det
21	sierra	NOUN	17	obl
22	de	ADP	23	case
23	Sarsa	PROPN	21	nmod
24	,	PUNCT	5	punct
25	había	AUX	26	aux
26	calcinado	VERB	0	root
27	cerca	ADV	30	advmod
28	de	ADP	27	case
29	500	NUM	27	nummod
30	hectáreas	NOUN	26	obj
31	de	ADP	32	case
32	monte	NOUN	30	nmod
33	bajo	ADJ	32	amod
34	y	CCONJ	36	cc
35	de	ADP	36	case
36	pinos	NOUN	32	conj
37	.	PUNCT	26	punct