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:
Según los exportadores ecuatorianos, las ventas no subirán en cantidad, puesto que los volúmenes de producción están definidos, sino en beneficios, por el incremento de los precios.
Postion	Tokenization
1	Según
2	los
3	exportadores
4	ecuatorianos
5	,
6	las
7	ventas
8	no
9	subirán
10	en
11	cantidad
12	,
13	puesto
14	que
15	los
16	volúmenes
17	de
18	producción
19	están
20	definidos
21	,
22	sino
23	en
24	beneficios
25	,
26	por
27	el
28	incremento
29	de
30	los
31	precios
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	los	DET	3	det
3	exportadores	NOUN	9	obl
4	ecuatorianos	ADJ	3	amod
5	,	PUNCT	3	punct
6	las	DET	7	det
7	ventas	NOUN	9	nsubj
8	no	ADV	9	advmod
9	subirán	VERB	0	root
10	en	ADP	11	case
11	cantidad	NOUN	9	obl
12	,	PUNCT	20	punct
13	puesto	NOUN	20	mark
14	que	SCONJ	13	fixed
15	los	DET	16	det
16	volúmenes	NOUN	20	nsubj
17	de	ADP	18	case
18	producción	NOUN	16	nmod
19	están	AUX	20	cop
20	definidos	ADJ	9	advcl
21	,	PUNCT	20	punct
22	sino	CCONJ	24	cc
23	en	ADP	24	case
24	beneficios	NOUN	9	conj
25	,	PUNCT	28	punct
26	por	ADP	28	case
27	el	DET	28	det
28	incremento	NOUN	24	conj
29	de	ADP	31	case
30	los	DET	31	det
31	precios	NOUN	28	nmod
32	.	PUNCT	9	punct