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 objetivo es sentar un ejemplo para cada empleador en Estados Unidos, porque ningún empleador debería revisar los historiales genéticos junto con los currículos" de sus trabajadores o candidatos, afirmó Clinton en su discurso.
Postion	Tokenization
1	"
2	El
3	objetivo
4	es
5	sentar
6	un
7	ejemplo
8	para
9	cada
10	empleador
11	en
12	Estados
13	Unidos
14	,
15	porque
16	ningún
17	empleador
18	debería
19	revisar
20	los
21	historiales
22	genéticos
23	junto
24	con
25	los
26	currículos
27	"
28	de
29	sus
30	trabajadores
31	o
32	candidatos
33	,
34	afirmó
35	Clinton
36	en
37	su
38	discurso
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	El	DET	3	det
3	objetivo	NOUN	4	nsubj
4	es	AUX	34	ccomp
5	sentar	VERB	4	ccomp
6	un	DET	7	det
7	ejemplo	NOUN	5	obj
8	para	ADP	10	case
9	cada	DET	10	det
10	empleador	NOUN	5	obj
11	en	ADP	12	case
12	Estados	PROPN	10	nmod
13	Unidos	PROPN	12	flat
14	,	PUNCT	5	punct
15	porque	SCONJ	5	mark
16	ningún	DET	17	det
17	empleador	NOUN	5	nsubj
18	debería	AUX	5	aux
19	revisar	VERB	5	xcomp
20	los	DET	21	det
21	historiales	NOUN	19	obj
22	genéticos	ADJ	21	amod
23	junto	ADJ	26	cc
24	con	ADP	23	fixed
25	los	DET	26	det
26	currículos	NOUN	21	conj
27	"	PUNCT	30	punct
28	de	ADP	30	case
29	sus	DET	30	det
30	trabajadores	NOUN	21	conj
31	o	CCONJ	32	cc
32	candidatos	NOUN	30	conj
33	,	PUNCT	4	punct
34	afirmó	VERB	0	root
35	Clinton	PROPN	34	nsubj
36	en	ADP	38	case
37	su	DET	38	det
38	discurso	NOUN	34	obl
39	.	PUNCT	34	punct