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:
Los responsables de la investigación creen poco probable que haya más bombas enterradas en la Costa Daurada, como indicaban los anónimos recibidos por los patronatos de turismo de las tres localidades.
Postion	Tokenization
1	Los
2	responsables
3	de
4	la
5	investigación
6	creen
7	poco
8	probable
9	que
10	haya
11	más
12	bombas
13	enterradas
14	en
15	la
16	Costa
17	Daurada
18	,
19	como
20	indicaban
21	los
22	anónimos
23	recibidos
24	por
25	los
26	patronatos
27	de
28	turismo
29	de
30	las
31	tres
32	localidades
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	responsables	NOUN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	investigación	NOUN	2	nmod
6	creen	VERB	0	root
7	poco	ADV	8	advmod
8	probable	ADJ	6	iobj
9	que	SCONJ	10	mark
10	haya	AUX	6	ccomp
11	más	ADV	12	advmod
12	bombas	NOUN	10	obj
13	enterradas	ADJ	12	amod
14	en	ADP	16	case
15	la	DET	16	det
16	Costa	PROPN	13	obl
17	Daurada	PROPN	16	flat
18	,	PUNCT	20	punct
19	como	SCONJ	20	mark
20	indicaban	VERB	6	advcl
21	los	DET	22	det
22	anónimos	NOUN	20	nsubj
23	recibidos	ADJ	22	amod
24	por	ADP	26	case
25	los	DET	26	det
26	patronatos	NOUN	23	obj
27	de	ADP	28	case
28	turismo	NOUN	26	nmod
29	de	ADP	32	case
30	las	DET	32	det
31	tres	NUM	30	nummod
32	localidades	NOUN	28	nmod
33	.	PUNCT	6	punct