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:
El impacto de los aludes en los Alpes y el hecho de que las explosiones de Salou no se vincularan con una actuación terrorista desviaron la atención informativa, según explicaron fuentes de los turoperadores de la zona.
Postion	Tokenization
1	El
2	impacto
3	de
4	los
5	aludes
6	en
7	los
8	Alpes
9	y
10	el
11	hecho
12	de
13	que
14	las
15	explosiones
16	de
17	Salou
18	no
19	se
20	vincularan
21	con
22	una
23	actuación
24	terrorista
25	desviaron
26	la
27	atención
28	informativa
29	,
30	según
31	explicaron
32	fuentes
33	de
34	los
35	turoperadores
36	de
37	la
38	zona
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	impacto	NOUN	25	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	aludes	NOUN	2	nmod
6	en	ADP	8	case
7	los	DET	8	det
8	Alpes	PROPN	5	nmod
9	y	CCONJ	11	cc
10	el	DET	11	det
11	hecho	NOUN	2	conj
12	de	ADP	20	mark
13	que	SCONJ	20	mark
14	las	DET	15	det
15	explosiones	NOUN	20	nsubj
16	de	ADP	17	case
17	Salou	PROPN	15	nmod
18	no	ADV	20	advmod
19	se	PRON	20	expl:pass
20	vincularan	VERB	11	acl
21	con	ADP	23	case
22	una	DET	23	det
23	actuación	NOUN	20	obj
24	terrorista	ADJ	23	amod
25	desviaron	VERB	0	root
26	la	DET	27	det
27	atención	NOUN	25	obj
28	informativa	ADJ	27	amod
29	,	PUNCT	31	punct
30	según	SCONJ	31	mark
31	explicaron	VERB	25	advcl
32	fuentes	NOUN	31	nsubj
33	de	ADP	35	case
34	los	DET	35	det
35	turoperadores	NOUN	32	nmod
36	de	ADP	38	case
37	la	DET	38	det
38	zona	NOUN	35	nmod
39	.	PUNCT	25	punct