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:
Para personas que se impusieron como misión liberar a los explotados de las garras y la codicia de los explotadores, ha de ser trágica la situación en que se encuentran.
Postion	Tokenization
1	Para
2	personas
3	que
4	se
5	impusieron
6	como
7	misión
8	liberar
9	a
10	los
11	explotados
12	de
13	las
14	garras
15	y
16	la
17	codicia
18	de
19	los
20	explotadores
21	,
22	ha
23	de
24	ser
25	trágica
26	la
27	situación
28	en
29	que
30	se
31	encuentran
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	case
2	personas	NOUN	25	obj
3	que	PRON	5	nsubj
4	se	PRON	5	iobj
5	impusieron	VERB	2	acl
6	como	SCONJ	7	mark
7	misión	NOUN	5	obl
8	liberar	VERB	5	xcomp
9	a	ADP	11	case
10	los	DET	11	det
11	explotados	ADJ	8	obj
12	de	ADP	14	case
13	las	DET	14	det
14	garras	NOUN	8	obj
15	y	CCONJ	17	cc
16	la	DET	17	det
17	codicia	NOUN	14	conj
18	de	ADP	20	case
19	los	DET	20	det
20	explotadores	NOUN	14	nmod
21	,	PUNCT	2	punct
22	ha	AUX	25	aux
23	de	ADP	25	case
24	ser	AUX	25	cop
25	trágica	ADJ	0	root
26	la	DET	27	det
27	situación	NOUN	25	nsubj
28	en	ADP	29	case
29	que	PRON	31	obl
30	se	PRON	31	expl:pv
31	encuentran	VERB	27	acl
32	.	PUNCT	25	punct