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:
Aunque se justificó la discreción en necesidades de la propia investigación, fuentes municipales de Salou reconocieron que inicialmente no se había dado credibilidad a la extorsión y se quería evitar la alarma por las negativas consecuencias que pudiera tener en el sector turístico.
Postion	Tokenization
1	Aunque
2	se
3	justificó
4	la
5	discreción
6	en
7	necesidades
8	de
9	la
10	propia
11	investigación
12	,
13	fuentes
14	municipales
15	de
16	Salou
17	reconocieron
18	que
19	inicialmente
20	no
21	se
22	había
23	dado
24	credibilidad
25	a
26	la
27	extorsión
28	y
29	se
30	quería
31	evitar
32	la
33	alarma
34	por
35	las
36	negativas
37	consecuencias
38	que
39	pudiera
40	tener
41	en
42	el
43	sector
44	turístico
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	3	mark
2	se	PRON	3	expl:pass
3	justificó	VERB	17	advcl
4	la	DET	5	det
5	discreción	NOUN	3	nsubj
6	en	ADP	7	case
7	necesidades	NOUN	3	obl
8	de	ADP	11	case
9	la	DET	11	det
10	propia	DET	9	det
11	investigación	NOUN	7	nmod
12	,	PUNCT	3	punct
13	fuentes	NOUN	17	nsubj
14	municipales	ADJ	13	amod
15	de	ADP	16	case
16	Salou	PROPN	13	nmod
17	reconocieron	VERB	0	root
18	que	SCONJ	23	mark
19	inicialmente	ADV	23	advmod
20	no	ADV	23	advmod
21	se	PRON	23	expl:pass
22	había	AUX	23	aux
23	dado	VERB	17	ccomp
24	credibilidad	NOUN	23	obj
25	a	ADP	27	case
26	la	DET	27	det
27	extorsión	NOUN	23	obj
28	y	CCONJ	30	cc
29	se	PRON	30	expl:impers
30	quería	VERB	23	conj
31	evitar	VERB	30	xcomp
32	la	DET	33	det
33	alarma	NOUN	31	obj
34	por	ADP	37	case
35	las	DET	37	det
36	negativas	ADJ	37	amod
37	consecuencias	NOUN	31	obl
38	que	PRON	40	obj
39	pudiera	AUX	40	aux
40	tener	VERB	37	acl
41	en	ADP	43	case
42	el	DET	43	det
43	sector	NOUN	40	obl
44	turístico	ADJ	43	amod
45	.	PUNCT	17	punct