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:
Sin embargo, la explosión de otra bomba colocada por el mismo comando en esa ciudad española ese mismo día costó la vida al sargento Miguel Angel Ayllón Díez-González e hirió a cuatro personas: el capitán Antonio Duque Manzano y el alférez Antonio Granado Bermejo, así como los civiles Manuel Espino Madueño y su esposa, Antonia Lara Andreu.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	la
5	explosión
6	de
7	otra
8	bomba
9	colocada
10	por
11	el
12	mismo
13	comando
14	en
15	esa
16	ciudad
17	española
18	ese
19	mismo
20	día
21	costó
22	la
23	vida
24	al
25	sargento
26	Miguel
27	Angel
28	Ayllón
29	Díez-González
30	e
31	hirió
32	a
33	cuatro
34	personas
35	:
36	el
37	capitán
38	Antonio
39	Duque
40	Manzano
41	y
42	el
43	alférez
44	Antonio
45	Granado
46	Bermejo
47	,
48	así
49	como
50	los
51	civiles
52	Manuel
53	Espino
54	Madueño
55	y
56	su
57	esposa
58	,
59	Antonia
60	Lara
61	Andreu
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	21	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	la	DET	5	det
5	explosión	NOUN	21	nsubj
6	de	ADP	8	case
7	otra	DET	8	det
8	bomba	NOUN	5	nmod
9	colocada	ADJ	8	amod
10	por	ADP	13	case
11	el	DET	13	det
12	mismo	DET	11	det
13	comando	NOUN	9	obj
14	en	ADP	16	case
15	esa	DET	16	det
16	ciudad	NOUN	9	obl
17	española	ADJ	16	amod
18	ese	DET	20	det
19	mismo	DET	18	det
20	día	NOUN	9	obl
21	costó	VERB	0	root
22	la	DET	23	det
23	vida	NOUN	21	obj
24	al	ADP	25	case
25	sargento	NOUN	21	obj
26	Miguel	PROPN	25	appos
27	Angel	PROPN	26	flat
28	Ayllón	PROPN	26	flat
29	Díez-González	PROPN	26	flat
30	e	CCONJ	31	cc
31	hirió	VERB	21	conj
32	a	ADP	34	case
33	cuatro	NUM	34	nummod
34	personas	NOUN	31	obj
35	:	PUNCT	34	punct
36	el	DET	37	det
37	capitán	NOUN	34	appos
38	Antonio	PROPN	37	appos
39	Duque	PROPN	38	flat
40	Manzano	PROPN	38	flat
41	y	CCONJ	43	cc
42	el	DET	43	det
43	alférez	NOUN	37	conj
44	Antonio	PROPN	43	appos
45	Granado	PROPN	44	flat
46	Bermejo	PROPN	44	flat
47	,	PUNCT	51	punct
48	así	ADV	51	cc
49	como	SCONJ	48	fixed
50	los	DET	51	det
51	civiles	ADJ	37	conj
52	Manuel	PROPN	51	obj
53	Espino	PROPN	52	flat
54	Madueño	PROPN	52	flat
55	y	CCONJ	57	cc
56	su	DET	57	det
57	esposa	NOUN	52	conj
58	,	PUNCT	59	punct
59	Antonia	PROPN	57	appos
60	Lara	PROPN	59	flat
61	Andreu	PROPN	59	flat
62	.	PUNCT	21	punct