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:
La bomba colocada en 1979 en la cafetería California de Madrid, con ocho muertos y más de 40 heridos, ha sido su atentado más sangriento.
Postion	Tokenization
1	La
2	bomba
3	colocada
4	en
5	1979
6	en
7	la
8	cafetería
9	California
10	de
11	Madrid
12	,
13	con
14	ocho
15	muertos
16	y
17	más
18	de
19	40
20	heridos
21	,
22	ha
23	sido
24	su
25	atentado
26	más
27	sangriento
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	bomba	NOUN	25	nsubj
3	colocada	ADJ	2	amod
4	en	ADP	5	case
5	1979	NOUN	3	obl
6	en	ADP	8	case
7	la	DET	8	det
8	cafetería	NOUN	3	obl
9	California	PROPN	8	appos
10	de	ADP	11	case
11	Madrid	PROPN	8	nmod
12	,	PUNCT	15	punct
13	con	ADP	15	case
14	ocho	NUM	15	nummod
15	muertos	NOUN	2	nmod
16	y	CCONJ	20	cc
17	más	ADV	20	advmod
18	de	ADP	17	case
19	40	NUM	17	nummod
20	heridos	NOUN	15	conj
21	,	PUNCT	15	punct
22	ha	AUX	25	aux
23	sido	AUX	25	cop
24	su	DET	25	det
25	atentado	NOUN	0	root
26	más	ADV	27	advmod
27	sangriento	ADJ	25	amod
28	.	PUNCT	25	punct