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 aumento sostenido que ha experimentado la exportación vitivinícola durante los últimos cuatro meses fue valorado por los productores y exportadores como "un logro muy significativo".
Postion	Tokenization
1	El
2	aumento
3	sostenido
4	que
5	ha
6	experimentado
7	la
8	exportación
9	vitivinícola
10	durante
11	los
12	últimos
13	cuatro
14	meses
15	fue
16	valorado
17	por
18	los
19	productores
20	y
21	exportadores
22	como
23	"
24	un
25	logro
26	muy
27	significativo
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	aumento	NOUN	16	nsubj
3	sostenido	ADJ	2	amod
4	que	PRON	6	obj
5	ha	AUX	6	aux
6	experimentado	VERB	2	acl
7	la	DET	8	det
8	exportación	NOUN	6	nsubj
9	vitivinícola	ADJ	8	amod
10	durante	ADP	14	case
11	los	DET	14	det
12	últimos	ADJ	11	amod
13	cuatro	NUM	11	nummod
14	meses	NOUN	6	obl
15	fue	AUX	16	aux
16	valorado	VERB	0	root
17	por	ADP	19	case
18	los	DET	19	det
19	productores	NOUN	16	obj
20	y	CCONJ	21	cc
21	exportadores	NOUN	19	conj
22	como	SCONJ	25	mark
23	"	PUNCT	25	punct
24	un	DET	25	det
25	logro	NOUN	16	obl
26	muy	ADV	27	advmod
27	significativo	ADJ	25	amod
28	"	PUNCT	25	punct
29	.	PUNCT	16	punct