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 tres de los siniestros se produjeron víctimas mortales: un pintor de la Rambla que vivía a pocos metros de la calle de Escudellers y se quedó dormido, y dos niños en sendas casas de Ciutat Vella.
Postion	Tokenization
1	En
2	tres
3	de
4	los
5	siniestros
6	se
7	produjeron
8	víctimas
9	mortales
10	:
11	un
12	pintor
13	de
14	la
15	Rambla
16	que
17	vivía
18	a
19	pocos
20	metros
21	de
22	la
23	calle
24	de
25	Escudellers
26	y
27	se
28	quedó
29	dormido
30	,
31	y
32	dos
33	niños
34	en
35	sendas
36	casas
37	de
38	Ciutat
39	Vella
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	tres	NUM	7	obl
3	de	ADP	5	case
4	los	DET	5	det
5	siniestros	NOUN	2	nmod
6	se	PRON	7	expl:pv
7	produjeron	VERB	0	root
8	víctimas	NOUN	7	nsubj
9	mortales	ADJ	8	amod
10	:	PUNCT	12	punct
11	un	DET	12	det
12	pintor	NOUN	8	appos
13	de	ADP	15	case
14	la	DET	15	det
15	Rambla	PROPN	12	nmod
16	que	PRON	17	nsubj
17	vivía	VERB	12	acl
18	a	ADP	20	case
19	pocos	DET	20	det
20	metros	NOUN	17	obl
21	de	ADP	23	case
22	la	DET	23	det
23	calle	NOUN	20	nmod
24	de	ADP	25	case
25	Escudellers	PROPN	23	nmod
26	y	CCONJ	28	cc
27	se	PRON	28	expl:pv
28	quedó	VERB	17	conj
29	dormido	ADJ	28	obj
30	,	PUNCT	33	punct
31	y	CCONJ	33	cc
32	dos	NUM	33	nummod
33	niños	NOUN	12	conj
34	en	ADP	36	case
35	sendas	DET	36	det
36	casas	NOUN	33	nmod
37	de	ADP	38	case
38	Ciutat	PROPN	36	nmod
39	Vella	PROPN	38	flat
40	.	PUNCT	7	punct