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 pasado abril colocó una bomba en Brixton, un barrio de mayoría jamaicana; un segundo artefacto en Brick Lane, donde viven inmigrantes procedentes de Bangladesh, y una tercera bomba, que causó tres víctimas mortales, en un pub situado en el Soho.
Postion	Tokenization
1	El
2	pasado
3	abril
4	colocó
5	una
6	bomba
7	en
8	Brixton
9	,
10	un
11	barrio
12	de
13	mayoría
14	jamaicana
15	;
16	un
17	segundo
18	artefacto
19	en
20	Brick
21	Lane
22	,
23	donde
24	viven
25	inmigrantes
26	procedentes
27	de
28	Bangladesh
29	,
30	y
31	una
32	tercera
33	bomba
34	,
35	que
36	causó
37	tres
38	víctimas
39	mortales
40	,
41	en
42	un
43	pub
44	situado
45	en
46	el
47	Soho
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	abril	NOUN	4	obl
4	colocó	VERB	0	root
5	una	DET	6	det
6	bomba	NOUN	4	obj
7	en	ADP	8	case
8	Brixton	PROPN	4	obl
9	,	PUNCT	11	punct
10	un	DET	11	det
11	barrio	NOUN	8	appos
12	de	ADP	13	case
13	mayoría	NOUN	11	nmod
14	jamaicana	ADJ	13	amod
15	;	PUNCT	18	punct
16	un	DET	18	det
17	segundo	ADJ	18	amod
18	artefacto	NOUN	4	obl
19	en	ADP	20	case
20	Brick	PROPN	18	nmod
21	Lane	PROPN	20	flat
22	,	PUNCT	24	punct
23	donde	PRON	24	obl
24	viven	VERB	20	acl
25	inmigrantes	NOUN	24	nsubj
26	procedentes	ADJ	25	amod
27	de	ADP	28	case
28	Bangladesh	PROPN	26	nmod
29	,	PUNCT	24	punct
30	y	CCONJ	33	cc
31	una	DET	33	det
32	tercera	ADJ	33	amod
33	bomba	NOUN	4	conj
34	,	PUNCT	36	punct
35	que	PRON	36	nsubj
36	causó	VERB	33	acl
37	tres	NUM	38	nummod
38	víctimas	NOUN	36	obj
39	mortales	ADJ	38	amod
40	,	PUNCT	43	punct
41	en	ADP	43	case
42	un	DET	43	det
43	pub	NOUN	36	obl
44	situado	ADJ	43	amod
45	en	ADP	47	case
46	el	DET	47	det
47	Soho	PROPN	44	obl
48	.	PUNCT	4	punct