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:
Agregó que durante este tiempo de silencio que ha mantenido "Venezuela sigue estando gobernada, porque entramos en la fase social y económica del proyecto, que primará sobre la política".
Postion	Tokenization
1	Agregó
2	que
3	durante
4	este
5	tiempo
6	de
7	silencio
8	que
9	ha
10	mantenido
11	"
12	Venezuela
13	sigue
14	estando
15	gobernada
16	,
17	porque
18	entramos
19	en
20	la
21	fase
22	social
23	y
24	económica
25	del
26	proyecto
27	,
28	que
29	primará
30	sobre
31	la
32	política
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Agregó	VERB	0	root
2	que	SCONJ	13	mark
3	durante	ADP	5	case
4	este	DET	5	det
5	tiempo	NOUN	13	obl
6	de	ADP	7	case
7	silencio	NOUN	5	nmod
8	que	PRON	10	obj
9	ha	AUX	10	aux
10	mantenido	VERB	7	acl
11	"	PUNCT	13	punct
12	Venezuela	PROPN	13	nsubj
13	sigue	VERB	1	ccomp
14	estando	AUX	15	cop
15	gobernada	ADJ	13	xcomp
16	,	PUNCT	18	punct
17	porque	SCONJ	18	mark
18	entramos	VERB	15	advcl
19	en	ADP	21	case
20	la	DET	21	det
21	fase	NOUN	18	obl
22	social	ADJ	21	amod
23	y	CCONJ	24	cc
24	económica	ADJ	22	conj
25	del	ADP	26	case
26	proyecto	NOUN	21	nmod
27	,	PUNCT	29	punct
28	que	PRON	29	nsubj
29	primará	VERB	21	acl
30	sobre	ADP	32	case
31	la	DET	32	det
32	política	NOUN	29	obl
33	"	PUNCT	13	punct
34	.	PUNCT	1	punct