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:
La Organización Internacional del Trabajo (OIT) ha pedido a Myanmar que realice las modificaciones necesarias para acabar de forma eficaz con el trabajo forzoso.
Postion	Tokenization
1	La
2	Organización
3	Internacional
4	del
5	Trabajo
6	(
7	OIT
8	)
9	ha
10	pedido
11	a
12	Myanmar
13	que
14	realice
15	las
16	modificaciones
17	necesarias
18	para
19	acabar
20	de
21	forma
22	eficaz
23	con
24	el
25	trabajo
26	forzoso
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Organización	PROPN	10	nsubj
3	Internacional	PROPN	2	flat
4	del	ADP	5	case
5	Trabajo	PROPN	2	flat
6	(	PUNCT	7	punct
7	OIT	PROPN	2	flat
8	)	PUNCT	7	punct
9	ha	AUX	10	aux
10	pedido	VERB	0	root
11	a	ADP	12	case
12	Myanmar	PROPN	10	iobj
13	que	SCONJ	14	mark
14	realice	VERB	10	ccomp
15	las	DET	16	det
16	modificaciones	NOUN	14	obj
17	necesarias	ADJ	16	amod
18	para	ADP	19	mark
19	acabar	VERB	14	advcl
20	de	ADP	21	case
21	forma	NOUN	19	obl
22	eficaz	ADJ	21	amod
23	con	ADP	25	case
24	el	DET	25	det
25	trabajo	NOUN	19	obj
26	forzoso	ADJ	25	amod
27	.	PUNCT	10	punct