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 último atentado de ETA en Durango con el asesinato del concejal del PP Jesús María Pedrosa y la cumbre Putin-Clinton son las noticias más destacadas hoy por la prensa de Barcelona.
Postion	Tokenization
1	El
2	último
3	atentado
4	de
5	ETA
6	en
7	Durango
8	con
9	el
10	asesinato
11	del
12	concejal
13	del
14	PP
15	Jesús
16	María
17	Pedrosa
18	y
19	la
20	cumbre
21	Putin-Clinton
22	son
23	las
24	noticias
25	más
26	destacadas
27	hoy
28	por
29	la
30	prensa
31	de
32	Barcelona
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	último	ADJ	3	amod
3	atentado	NOUN	24	nsubj
4	de	ADP	5	case
5	ETA	PROPN	3	nmod
6	en	ADP	7	case
7	Durango	PROPN	3	nmod
8	con	ADP	10	case
9	el	DET	10	det
10	asesinato	NOUN	3	nmod
11	del	ADP	12	case
12	concejal	NOUN	10	nmod
13	del	ADP	14	case
14	PP	PROPN	12	nmod
15	Jesús	PROPN	12	appos
16	María	PROPN	15	flat
17	Pedrosa	PROPN	15	flat
18	y	CCONJ	20	cc
19	la	DET	20	det
20	cumbre	NOUN	3	conj
21	Putin-Clinton	PROPN	20	appos
22	son	AUX	24	cop
23	las	DET	24	det
24	noticias	NOUN	0	root
25	más	ADV	26	advmod
26	destacadas	ADJ	24	amod
27	hoy	ADV	26	advmod
28	por	ADP	30	case
29	la	DET	30	det
30	prensa	NOUN	26	obj
31	de	ADP	32	case
32	Barcelona	PROPN	30	nmod
33	.	PUNCT	24	punct