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:
"Pensamos que la vicepresidenta debe ponerse al frente de las operaciones diarias del Gobierno", señaló Tanjung en los pasillos del edificio de la Asamblea Consultiva del Pueblo.
Postion	Tokenization
1	"
2	Pensamos
3	que
4	la
5	vicepresidenta
6	debe
7	ponerse
8	poner
9	se
10	al
11	frente
12	de
13	las
14	operaciones
15	diarias
16	del
17	Gobierno
18	"
19	,
20	señaló
21	Tanjung
22	en
23	los
24	pasillos
25	del
26	edificio
27	de
28	la
29	Asamblea
30	Consultiva
31	del
32	Pueblo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Pensamos	VERB	19	ccomp
3	que	SCONJ	7	mark
4	la	DET	5	det
5	vicepresidenta	NOUN	7	nsubj
6	debe	AUX	7	aux
7	ponerse	_	None	_
8	poner	VERB	2	xcomp
9	se	PRON	7	obj
10	al	ADP	13	case
11	frente	NOUN	9	fixed
12	de	ADP	9	fixed
13	las	DET	13	det
14	operaciones	NOUN	7	obl
15	diarias	ADJ	13	amod
16	del	ADP	16	case
17	Gobierno	PROPN	13	nmod
18	"	PUNCT	2	punct
19	,	PUNCT	2	punct
20	señaló	VERB	0	root
21	Tanjung	PROPN	19	nsubj
22	en	ADP	23	case
23	los	DET	23	det
24	pasillos	NOUN	19	obl
25	del	ADP	25	case
26	edificio	NOUN	23	nmod
27	de	ADP	28	case
28	la	DET	28	det
29	Asamblea	PROPN	25	nmod
30	Consultiva	PROPN	28	flat
31	del	ADP	31	case
32	Pueblo	PROPN	28	flat
33	.	PUNCT	19	punct