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:
VOY a volver a Altos Hornos de Vizcaya en el puesto que sea más conveniente para la empresa.
Postion	Tokenization
1	VOY
2	a
3	volver
4	a
5	Altos
6	Hornos
7	de
8	Vizcaya
9	en
10	el
11	puesto
12	que
13	sea
14	más
15	conveniente
16	para
17	la
18	empresa
19	.
Position	Tokenization	UPOS	Head	Deprel
1	VOY	AUX	3	aux
2	a	ADP	3	mark
3	volver	VERB	0	root
4	a	ADP	5	case
5	Altos	PROPN	3	obl
6	Hornos	PROPN	5	flat
7	de	ADP	8	case
8	Vizcaya	PROPN	5	flat
9	en	ADP	11	case
10	el	DET	11	det
11	puesto	NOUN	3	obl
12	que	PRON	15	nsubj
13	sea	AUX	15	cop
14	más	ADV	15	advmod
15	conveniente	ADJ	11	acl
16	para	ADP	18	case
17	la	DET	18	det
18	empresa	NOUN	15	obl
19	.	PUNCT	3	punct