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:
En Timor occidental será la organización Care UK la encargada de combatir la malnutrición y poner en marcha un programa de higiene y saneamiento para las víctimas de las inundaciones en la frontera de Timor oriental.
Postion	Tokenization
1	En
2	Timor
3	occidental
4	será
5	la
6	organización
7	Care
8	UK
9	la
10	encargada
11	de
12	combatir
13	la
14	malnutrición
15	y
16	poner
17	en
18	marcha
19	un
20	programa
21	de
22	higiene
23	y
24	saneamiento
25	para
26	las
27	víctimas
28	de
29	las
30	inundaciones
31	en
32	la
33	frontera
34	de
35	Timor
36	oriental
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Timor	PROPN	10	obl
3	occidental	ADJ	2	amod
4	será	AUX	10	cop
5	la	DET	6	det
6	organización	NOUN	10	nsubj
7	Care	PROPN	6	appos
8	UK	PROPN	7	flat
9	la	DET	10	det
10	encargada	NOUN	0	root
11	de	ADP	12	mark
12	combatir	VERB	10	acl
13	la	DET	14	det
14	malnutrición	NOUN	12	obj
15	y	CCONJ	16	cc
16	poner	VERB	12	conj
17	en	ADP	18	case
18	marcha	NOUN	16	compound
19	un	DET	20	det
20	programa	NOUN	16	obj
21	de	ADP	22	case
22	higiene	NOUN	20	nmod
23	y	CCONJ	24	cc
24	saneamiento	NOUN	22	conj
25	para	ADP	27	case
26	las	DET	27	det
27	víctimas	NOUN	20	nmod
28	de	ADP	30	case
29	las	DET	30	det
30	inundaciones	NOUN	27	nmod
31	en	ADP	33	case
32	la	DET	33	det
33	frontera	NOUN	27	nmod
34	de	ADP	35	case
35	Timor	PROPN	33	nmod
36	oriental	ADJ	35	amod
37	.	PUNCT	10	punct