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:
ETA ha confirmado este verano las más macabras previsiones: entre julio y agosto, siete muertos, 20 heridos y varios atentados frustrados por el azar o la acción policial.
Postion	Tokenization
1	ETA
2	ha
3	confirmado
4	este
5	verano
6	las
7	más
8	macabras
9	previsiones
10	:
11	entre
12	julio
13	y
14	agosto
15	,
16	siete
17	muertos
18	,
19	20
20	heridos
21	y
22	varios
23	atentados
24	frustrados
25	por
26	el
27	azar
28	o
29	la
30	acción
31	policial
32	.
Position	Tokenization	UPOS	Head	Deprel
1	ETA	PROPN	3	nsubj
2	ha	AUX	3	aux
3	confirmado	VERB	0	root
4	este	DET	5	det
5	verano	NOUN	3	obl
6	las	DET	9	det
7	más	ADV	8	advmod
8	macabras	ADJ	9	amod
9	previsiones	NOUN	3	obj
10	:	PUNCT	17	punct
11	entre	ADP	12	case
12	julio	NOUN	17	nmod
13	y	CCONJ	14	cc
14	agosto	NOUN	12	conj
15	,	PUNCT	12	punct
16	siete	NUM	17	nummod
17	muertos	NOUN	9	nmod
18	,	PUNCT	20	punct
19	20	NUM	20	nummod
20	heridos	NOUN	17	appos
21	y	CCONJ	23	cc
22	varios	DET	23	det
23	atentados	NOUN	17	conj
24	frustrados	ADJ	23	amod
25	por	ADP	27	case
26	el	DET	27	det
27	azar	NOUN	24	obj
28	o	CCONJ	30	cc
29	la	DET	30	det
30	acción	NOUN	27	conj
31	policial	ADJ	30	amod
32	.	PUNCT	3	punct