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:
Las pruebas recogidas por la Policía, así como informaciones de prensa, indican que fueron grupos organizados los que difundieron rumores sobre la inminente quiebra del BCR, a través de llamadas telefónicas anónimas y mensajes por correo electrónico.
Postion	Tokenization
1	Las
2	pruebas
3	recogidas
4	por
5	la
6	Policía
7	,
8	así
9	como
10	informaciones
11	de
12	prensa
13	,
14	indican
15	que
16	fueron
17	grupos
18	organizados
19	los
20	que
21	difundieron
22	rumores
23	sobre
24	la
25	inminente
26	quiebra
27	del
28	BCR
29	,
30	a
31	través
32	de
33	llamadas
34	telefónicas
35	anónimas
36	y
37	mensajes
38	por
39	correo
40	electrónico
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	pruebas	NOUN	14	nsubj
3	recogidas	ADJ	2	amod
4	por	ADP	6	case
5	la	DET	6	det
6	Policía	PROPN	3	obj
7	,	PUNCT	10	punct
8	así	ADV	10	cc
9	como	SCONJ	8	fixed
10	informaciones	NOUN	2	conj
11	de	ADP	12	case
12	prensa	NOUN	10	nmod
13	,	PUNCT	14	punct
14	indican	VERB	0	root
15	que	SCONJ	16	mark
16	fueron	AUX	14	ccomp
17	grupos	NOUN	16	nsubj
18	organizados	ADJ	17	amod
19	los	DET	21	det
20	que	PRON	21	nsubj
21	difundieron	VERB	16	ccomp
22	rumores	NOUN	21	obj
23	sobre	ADP	26	case
24	la	DET	26	det
25	inminente	ADJ	26	amod
26	quiebra	NOUN	22	nmod
27	del	ADP	28	case
28	BCR	PROPN	26	nmod
29	,	PUNCT	33	punct
30	a	ADP	33	case
31	través	NOUN	30	fixed
32	de	ADP	30	fixed
33	llamadas	NOUN	21	obl
34	telefónicas	ADJ	33	amod
35	anónimas	ADJ	33	amod
36	y	CCONJ	37	cc
37	mensajes	NOUN	33	conj
38	por	ADP	39	case
39	correo	NOUN	37	nmod
40	electrónico	ADJ	39	amod
41	.	PUNCT	14	punct