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:
Asimismo, las remuneraciones por hora crecieron 6 centavos de dólar, o un 0,4 por ciento, a 13,5 dólares; alza que también supera las expectativas de los analistas.
Postion	Tokenization
1	Asimismo
2	,
3	las
4	remuneraciones
5	por
6	hora
7	crecieron
8	6
9	centavos
10	de
11	dólar
12	,
13	o
14	un
15	0,4
16	por
17	ciento
18	,
19	a
20	13,5
21	dólares
22	;
23	alza
24	que
25	también
26	supera
27	las
28	expectativas
29	de
30	los
31	analistas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	7	advmod
2	,	PUNCT	1	punct
3	las	DET	4	det
4	remuneraciones	NOUN	7	nsubj
5	por	ADP	6	case
6	hora	NOUN	4	nmod
7	crecieron	VERB	0	root
8	6	NUM	9	nummod
9	centavos	NOUN	7	obj
10	de	ADP	11	case
11	dólar	NOUN	9	nmod
12	,	PUNCT	15	punct
13	o	CCONJ	15	cc
14	un	DET	15	det
15	0,4	NUM	9	conj
16	por	ADP	17	case
17	ciento	NUM	15	compound
18	,	PUNCT	21	punct
19	a	ADP	21	case
20	13,5	NUM	21	nummod
21	dólares	NOUN	15	nmod
22	;	PUNCT	23	punct
23	alza	NOUN	7	obl
24	que	PRON	26	nsubj
25	también	ADV	26	advmod
26	supera	VERB	23	acl
27	las	DET	28	det
28	expectativas	NOUN	26	obj
29	de	ADP	31	case
30	los	DET	31	det
31	analistas	NOUN	28	nmod
32	.	PUNCT	7	punct