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:
Es decir, las empresas debían incluir cinco empleados de raza negra por cada uno de raza blanca, mestizo o indio, además de dar gran atención al empleo de mujeres y minusválidos, mediante cupos establecidos.
Postion	Tokenization
1	Es
2	decir
3	,
4	las
5	empresas
6	debían
7	incluir
8	cinco
9	empleados
10	de
11	raza
12	negra
13	por
14	cada
15	uno
16	de
17	raza
18	blanca
19	,
20	mestizo
21	o
22	indio
23	,
24	además
25	de
26	dar
27	gran
28	atención
29	al
30	empleo
31	de
32	mujeres
33	y
34	minusválidos
35	,
36	mediante
37	cupos
38	establecidos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	NOUN	7	advmod
2	decir	NOUN	1	fixed
3	,	PUNCT	1	punct
4	las	DET	5	det
5	empresas	NOUN	7	nsubj
6	debían	AUX	7	aux
7	incluir	VERB	24	parataxis
8	cinco	NUM	9	nummod
9	empleados	NOUN	7	obj
10	de	ADP	11	case
11	raza	NOUN	9	nmod
12	negra	ADJ	11	amod
13	por	ADP	15	case
14	cada	DET	15	det
15	uno	PRON	9	nmod
16	de	ADP	17	case
17	raza	NOUN	20	nmod
18	blanca	ADJ	17	amod
19	,	PUNCT	20	punct
20	mestizo	NOUN	15	appos
21	o	CCONJ	22	cc
22	indio	NOUN	20	conj
23	,	PUNCT	24	punct
24	además	ADV	0	root
25	de	ADP	24	fixed
26	dar	VERB	24	parataxis
27	gran	ADJ	28	amod
28	atención	NOUN	26	obj
29	al	ADP	30	case
30	empleo	NOUN	26	obj
31	de	ADP	32	case
32	mujeres	NOUN	30	nmod
33	y	CCONJ	34	cc
34	minusválidos	NOUN	32	conj
35	,	PUNCT	37	punct
36	mediante	ADP	37	case
37	cupos	NOUN	26	obl
38	establecidos	ADJ	37	amod
39	.	PUNCT	24	punct