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:
El secretario general del Gobierno chileno, Jorge Arrate, y el ministro de Economía, Jorge Leyva, defendieron la independencia de la fiscalía y atribuyeron la medida a una voluntad de transparencia.
Postion	Tokenization
1	El
2	secretario
3	general
4	del
5	Gobierno
6	chileno
7	,
8	Jorge
9	Arrate
10	,
11	y
12	el
13	ministro
14	de
15	Economía
16	,
17	Jorge
18	Leyva
19	,
20	defendieron
21	la
22	independencia
23	de
24	la
25	fiscalía
26	y
27	atribuyeron
28	la
29	medida
30	a
31	una
32	voluntad
33	de
34	transparencia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	20	nsubj
3	general	ADJ	2	amod
4	del	ADP	5	case
5	Gobierno	PROPN	2	nmod
6	chileno	ADJ	5	amod
7	,	PUNCT	8	punct
8	Jorge	PROPN	2	appos
9	Arrate	PROPN	8	flat
10	,	PUNCT	8	punct
11	y	CCONJ	13	cc
12	el	DET	13	det
13	ministro	NOUN	2	conj
14	de	ADP	15	case
15	Economía	PROPN	13	nmod
16	,	PUNCT	17	punct
17	Jorge	PROPN	13	appos
18	Leyva	PROPN	17	flat
19	,	PUNCT	17	punct
20	defendieron	VERB	0	root
21	la	DET	22	det
22	independencia	NOUN	20	obj
23	de	ADP	25	case
24	la	DET	25	det
25	fiscalía	NOUN	22	nmod
26	y	CCONJ	27	cc
27	atribuyeron	VERB	20	conj
28	la	DET	29	det
29	medida	NOUN	27	obj
30	a	ADP	32	case
31	una	DET	32	det
32	voluntad	NOUN	27	obj
33	de	ADP	34	case
34	transparencia	NOUN	32	nmod
35	.	PUNCT	20	punct