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:
Jorge Navarrete, asesor del Consep, dijo al rotativo que están tomando una serie de precauciones para evitar la consolidación de ese tipo de actividades ilegales.
Postion	Tokenization
1	Jorge
2	Navarrete
3	,
4	asesor
5	del
6	Consep
7	,
8	dijo
9	al
10	rotativo
11	que
12	están
13	tomando
14	una
15	serie
16	de
17	precauciones
18	para
19	evitar
20	la
21	consolidación
22	de
23	ese
24	tipo
25	de
26	actividades
27	ilegales
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jorge	PROPN	8	nsubj
2	Navarrete	PROPN	1	flat
3	,	PUNCT	4	punct
4	asesor	NOUN	1	appos
5	del	ADP	6	case
6	Consep	PROPN	4	nmod
7	,	PUNCT	4	punct
8	dijo	VERB	0	root
9	al	ADP	10	case
10	rotativo	NOUN	8	iobj
11	que	SCONJ	13	mark
12	están	AUX	13	aux
13	tomando	VERB	8	ccomp
14	una	DET	15	det
15	serie	NOUN	13	obj
16	de	ADP	17	case
17	precauciones	NOUN	15	nmod
18	para	ADP	19	mark
19	evitar	VERB	13	advcl
20	la	DET	21	det
21	consolidación	NOUN	19	obj
22	de	ADP	24	case
23	ese	DET	24	det
24	tipo	NOUN	21	nmod
25	de	ADP	26	case
26	actividades	NOUN	24	nmod
27	ilegales	ADJ	26	amod
28	.	PUNCT	8	punct