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:
"Los incendios provocados en contenedores, coches y motos se producen mayoritariamente las noches del fin de semana", explica el jefe de los bomberos, Jordi Murtra.
Postion	Tokenization
1	"
2	Los
3	incendios
4	provocados
5	en
6	contenedores
7	,
8	coches
9	y
10	motos
11	se
12	producen
13	mayoritariamente
14	las
15	noches
16	del
17	fin
18	de
19	semana
20	"
21	,
22	explica
23	el
24	jefe
25	de
26	los
27	bomberos
28	,
29	Jordi
30	Murtra
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	12	punct
2	Los	DET	3	det
3	incendios	NOUN	12	nsubj
4	provocados	ADJ	3	amod
5	en	ADP	6	case
6	contenedores	NOUN	4	obl
7	,	PUNCT	8	punct
8	coches	NOUN	6	conj
9	y	CCONJ	10	cc
10	motos	NOUN	6	conj
11	se	PRON	12	expl:pv
12	producen	VERB	22	ccomp
13	mayoritariamente	ADV	12	advmod
14	las	DET	15	det
15	noches	NOUN	12	obl
16	del	ADP	17	case
17	fin	NOUN	15	nmod
18	de	ADP	19	case
19	semana	NOUN	17	compound
20	"	PUNCT	12	punct
21	,	PUNCT	12	punct
22	explica	VERB	0	root
23	el	DET	24	det
24	jefe	NOUN	22	nsubj
25	de	ADP	27	case
26	los	DET	27	det
27	bomberos	NOUN	24	nmod
28	,	PUNCT	29	punct
29	Jordi	PROPN	24	appos
30	Murtra	PROPN	29	flat
31	.	PUNCT	22	punct