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:
Además, las autoridades cubanas lo acusan de ser uno de los principales responsables de los atentados con bombas en varios hoteles habaneros en el verano de 1997, en uno de los cuales murió el turista italiano Fabio Di Celmo, de 32 años, y resultaron heridas otras siete personas.
Postion	Tokenization
1	Además
2	,
3	las
4	autoridades
5	cubanas
6	lo
7	acusan
8	de
9	ser
10	uno
11	de
12	los
13	principales
14	responsables
15	de
16	los
17	atentados
18	con
19	bombas
20	en
21	varios
22	hoteles
23	habaneros
24	en
25	el
26	verano
27	de
28	1997
29	,
30	en
31	uno
32	de
33	los
34	cuales
35	murió
36	el
37	turista
38	italiano
39	Fabio
40	Di
41	Celmo
42	,
43	de
44	32
45	años
46	,
47	y
48	resultaron
49	heridas
50	otras
51	siete
52	personas
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	7	advmod
2	,	PUNCT	1	punct
3	las	DET	4	det
4	autoridades	NOUN	7	nsubj
5	cubanas	ADJ	4	amod
6	lo	PRON	7	iobj
7	acusan	VERB	0	root
8	de	ADP	10	mark
9	ser	AUX	10	cop
10	uno	PRON	7	xcomp
11	de	ADP	14	case
12	los	DET	14	det
13	principales	ADJ	14	amod
14	responsables	NOUN	10	nmod
15	de	ADP	17	case
16	los	DET	17	det
17	atentados	NOUN	14	nmod
18	con	ADP	19	case
19	bombas	NOUN	17	nmod
20	en	ADP	22	case
21	varios	DET	22	det
22	hoteles	NOUN	17	nmod
23	habaneros	ADJ	22	amod
24	en	ADP	26	case
25	el	DET	26	det
26	verano	NOUN	17	nmod
27	de	ADP	28	case
28	1997	NOUN	26	nmod
29	,	PUNCT	35	punct
30	en	ADP	31	case
31	uno	PRON	35	obl
32	de	ADP	34	case
33	los	DET	34	det
34	cuales	PRON	31	nmod
35	murió	VERB	17	acl
36	el	DET	37	det
37	turista	NOUN	35	nsubj
38	italiano	ADJ	37	amod
39	Fabio	PROPN	37	appos
40	Di	PROPN	39	flat
41	Celmo	PROPN	39	flat
42	,	PUNCT	45	punct
43	de	ADP	45	case
44	32	NUM	45	nummod
45	años	NOUN	37	nmod
46	,	PUNCT	45	punct
47	y	CCONJ	48	cc
48	resultaron	VERB	35	conj
49	heridas	ADJ	48	obj
50	otras	DET	52	det
51	siete	NUM	50	nummod
52	personas	NOUN	48	nsubj
53	.	PUNCT	7	punct