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 la Comunidad de Madrid, los bomberos continuaban ayer la extinción del fuego originado en el término municipal de Los Molinos, y que ha afectado a 64 hectáreas de la sierra de Guadarrama.
Postion	Tokenization
1	En
2	la
3	Comunidad
4	de
5	Madrid
6	,
7	los
8	bomberos
9	continuaban
10	ayer
11	la
12	extinción
13	del
14	fuego
15	originado
16	en
17	el
18	término
19	municipal
20	de
21	Los
22	Molinos
23	,
24	y
25	que
26	ha
27	afectado
28	a
29	64
30	hectáreas
31	de
32	la
33	sierra
34	de
35	Guadarrama
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	Comunidad	PROPN	9	obl
4	de	ADP	5	case
5	Madrid	PROPN	3	flat
6	,	PUNCT	3	punct
7	los	DET	8	det
8	bomberos	NOUN	9	nsubj
9	continuaban	VERB	0	root
10	ayer	ADV	9	advmod
11	la	DET	12	det
12	extinción	NOUN	9	obj
13	del	ADP	14	case
14	fuego	NOUN	12	nmod
15	originado	ADJ	14	amod
16	en	ADP	18	case
17	el	DET	18	det
18	término	NOUN	15	obj
19	municipal	ADJ	18	amod
20	de	ADP	22	case
21	Los	DET	22	det
22	Molinos	PROPN	18	nmod
23	,	PUNCT	27	punct
24	y	CCONJ	27	cc
25	que	PRON	27	nsubj
26	ha	AUX	27	aux
27	afectado	VERB	15	conj
28	a	ADP	30	case
29	64	NUM	30	nummod
30	hectáreas	NOUN	27	obj
31	de	ADP	33	case
32	la	DET	33	det
33	sierra	NOUN	30	nmod
34	de	ADP	35	case
35	Guadarrama	PROPN	33	nmod
36	.	PUNCT	9	punct