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 el 2000 ardieron 1.078 contenedores y 493 vehículos en incendios provocados que, a juicio de Murtra, ya no pueden ser calificados de simples gamberradas.
Postion	Tokenization
1	En
2	el
3	2000
4	ardieron
5	1.078
6	contenedores
7	y
8	493
9	vehículos
10	en
11	incendios
12	provocados
13	que
14	,
15	a
16	juicio
17	de
18	Murtra
19	,
20	ya
21	no
22	pueden
23	ser
24	calificados
25	de
26	simples
27	gamberradas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	2000	NOUN	4	obl
4	ardieron	VERB	0	root
5	1.078	NUM	6	nummod
6	contenedores	NOUN	4	nsubj
7	y	CCONJ	9	cc
8	493	NUM	9	nummod
9	vehículos	NOUN	6	conj
10	en	ADP	11	case
11	incendios	NOUN	4	obl
12	provocados	ADJ	11	amod
13	que	PRON	24	nsubj
14	,	PUNCT	18	punct
15	a	ADP	18	case
16	juicio	NOUN	15	fixed
17	de	ADP	15	fixed
18	Murtra	PROPN	24	obl
19	,	PUNCT	18	punct
20	ya	ADV	24	advmod
21	no	ADV	24	advmod
22	pueden	AUX	24	aux
23	ser	AUX	24	aux
24	calificados	VERB	11	acl
25	de	ADP	27	case
26	simples	ADJ	27	amod
27	gamberradas	NOUN	24	obj
28	.	PUNCT	4	punct