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:
- Y acto seguido anunció que doblaría a cinco dólares el salario mínimo de sus obreros y empleados: si sus obreros ganaban más dinero, podrían comprar sus autos.
Postion	Tokenization
1	-
2	Y
3	acto
4	seguido
5	anunció
6	que
7	doblaría
8	a
9	cinco
10	dólares
11	el
12	salario
13	mínimo
14	de
15	sus
16	obreros
17	y
18	empleados
19	:
20	si
21	sus
22	obreros
23	ganaban
24	más
25	dinero
26	,
27	podrían
28	comprar
29	sus
30	autos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	5	punct
2	Y	CCONJ	5	advmod
3	acto	NOUN	5	obl
4	seguido	ADJ	3	amod
5	anunció	VERB	0	root
6	que	SCONJ	7	mark
7	doblaría	VERB	5	ccomp
8	a	ADP	10	case
9	cinco	NUM	10	nummod
10	dólares	NOUN	7	obl
11	el	DET	12	det
12	salario	NOUN	7	obj
13	mínimo	ADJ	12	amod
14	de	ADP	16	case
15	sus	DET	16	det
16	obreros	NOUN	12	nmod
17	y	CCONJ	18	cc
18	empleados	NOUN	16	conj
19	:	PUNCT	28	punct
20	si	SCONJ	23	mark
21	sus	DET	22	det
22	obreros	NOUN	23	nsubj
23	ganaban	VERB	28	advcl
24	más	ADV	25	advmod
25	dinero	NOUN	23	obj
26	,	PUNCT	23	punct
27	podrían	AUX	28	aux
28	comprar	VERB	5	advcl
29	sus	DET	30	det
30	autos	NOUN	28	obj
31	.	PUNCT	5	punct