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:
Barak se reunió con Clinton tras entrevistarse con Antonio Guterres, primer ministro de Portugal, país que ejerce la presidencia de turno de la Unión Europea.
Postion	Tokenization
1	Barak
2	se
3	reunió
4	con
5	Clinton
6	tras
7	entrevistarse
8	entrevistar
9	se
10	con
11	Antonio
12	Guterres
13	,
14	primer
15	ministro
16	de
17	Portugal
18	,
19	país
20	que
21	ejerce
22	la
23	presidencia
24	de
25	turno
26	de
27	la
28	Unión
29	Europea
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Barak	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	reunió	VERB	0	root
4	con	ADP	5	case
5	Clinton	PROPN	3	obj
6	tras	ADP	7	mark
7	entrevistarse	_	None	_
8	entrevistar	VERB	3	advcl
9	se	PRON	7	expl:pv
10	con	ADP	10	case
11	Antonio	PROPN	7	obj
12	Guterres	PROPN	10	flat
13	,	PUNCT	14	punct
14	primer	ADJ	14	amod
15	ministro	NOUN	10	appos
16	de	ADP	16	case
17	Portugal	PROPN	14	nmod
18	,	PUNCT	18	punct
19	país	NOUN	16	appos
20	que	PRON	20	nsubj
21	ejerce	VERB	18	acl
22	la	DET	22	det
23	presidencia	NOUN	20	obj
24	de	ADP	24	case
25	turno	NOUN	22	nmod
26	de	ADP	27	case
27	la	DET	27	det
28	Unión	PROPN	22	nmod
29	Europea	PROPN	27	flat
30	.	PUNCT	3	punct