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:
Más bien, han indicado portavoces oficiales, se quiere lograr un gran acuerdo nacional para empujar las reformas que requiere el país.
Postion	Tokenization
1	Más
2	bien
3	,
4	han
5	indicado
6	portavoces
7	oficiales
8	,
9	se
10	quiere
11	lograr
12	un
13	gran
14	acuerdo
15	nacional
16	para
17	empujar
18	las
19	reformas
20	que
21	requiere
22	el
23	país
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	10	advmod
2	bien	ADV	1	fixed
3	,	PUNCT	5	punct
4	han	AUX	5	aux
5	indicado	VERB	10	parataxis
6	portavoces	NOUN	5	nsubj
7	oficiales	ADJ	6	amod
8	,	PUNCT	5	punct
9	se	PRON	10	expl:pass
10	quiere	VERB	0	root
11	lograr	VERB	10	xcomp
12	un	DET	14	det
13	gran	ADJ	14	amod
14	acuerdo	NOUN	11	obj
15	nacional	ADJ	14	amod
16	para	ADP	17	mark
17	empujar	VERB	11	advcl
18	las	DET	19	det
19	reformas	NOUN	17	obj
20	que	PRON	21	obj
21	requiere	VERB	19	acl
22	el	DET	23	det
23	país	NOUN	21	nsubj
24	.	PUNCT	10	punct