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:
Según aquella comisión, en ese país el empleo de la mano de obra forzosa es una "práctica sistemática que ignora por completo la dignidad humana, la seguridad y la salud de la población".
Postion	Tokenization
1	Según
2	aquella
3	comisión
4	,
5	en
6	ese
7	país
8	el
9	empleo
10	de
11	la
12	mano
13	de
14	obra
15	forzosa
16	es
17	una
18	"
19	práctica
20	sistemática
21	que
22	ignora
23	por
24	completo
25	la
26	dignidad
27	humana
28	,
29	la
30	seguridad
31	y
32	la
33	salud
34	de
35	la
36	población
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	aquella	DET	3	det
3	comisión	NOUN	19	obl
4	,	PUNCT	3	punct
5	en	ADP	7	case
6	ese	DET	7	det
7	país	NOUN	19	obl
8	el	DET	9	det
9	empleo	NOUN	19	nsubj
10	de	ADP	12	case
11	la	DET	12	det
12	mano	NOUN	9	nmod
13	de	ADP	14	case
14	obra	NOUN	12	nmod
15	forzosa	ADJ	12	amod
16	es	AUX	19	cop
17	una	DET	19	det
18	"	PUNCT	19	punct
19	práctica	NOUN	0	root
20	sistemática	ADJ	19	amod
21	que	PRON	22	nsubj
22	ignora	VERB	19	acl
23	por	ADP	22	advmod
24	completo	NOUN	23	fixed
25	la	DET	26	det
26	dignidad	NOUN	22	obj
27	humana	ADJ	26	amod
28	,	PUNCT	30	punct
29	la	DET	30	det
30	seguridad	NOUN	26	appos
31	y	CCONJ	33	cc
32	la	DET	33	det
33	salud	NOUN	26	conj
34	de	ADP	36	case
35	la	DET	36	det
36	población	NOUN	26	nmod
37	"	PUNCT	19	punct
38	.	PUNCT	19	punct