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 pasado 6 de octubre, el Gobierno aprobó un nuevo sistema para fijar los precios de venta al público de los gases licuados.
Postion	Tokenization
1	El
2	pasado
3	6
4	de
5	octubre
6	,
7	el
8	Gobierno
9	aprobó
10	un
11	nuevo
12	sistema
13	para
14	fijar
15	los
16	precios
17	de
18	venta
19	al
20	público
21	de
22	los
23	gases
24	licuados
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	6	NUM	9	obl
4	de	ADP	5	case
5	octubre	NOUN	3	compound
6	,	PUNCT	3	punct
7	el	DET	8	det
8	Gobierno	PROPN	9	nsubj
9	aprobó	VERB	0	root
10	un	DET	12	det
11	nuevo	ADJ	12	amod
12	sistema	NOUN	9	obj
13	para	ADP	14	mark
14	fijar	VERB	12	acl
15	los	DET	16	det
16	precios	NOUN	14	obj
17	de	ADP	18	case
18	venta	NOUN	16	nmod
19	al	ADP	20	case
20	público	NOUN	18	nmod
21	de	ADP	23	case
22	los	DET	23	det
23	gases	NOUN	16	nmod
24	licuados	ADJ	23	amod
25	.	PUNCT	9	punct