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 Gobierno británico anunció hoy compensará con 10.000 libras (unos 14.000 dólares) a cada uno de los 16.700 ex combatientes prisioneros en Japón durante la Segunda Guerra Mundial.
Postion	Tokenization
1	El
2	Gobierno
3	británico
4	anunció
5	hoy
6	compensará
7	con
8	10.000
9	libras
10	(
11	unos
12	14.000
13	dólares
14	)
15	a
16	cada
17	uno
18	de
19	los
20	16.700
21	ex
22	combatientes
23	prisioneros
24	en
25	Japón
26	durante
27	la
28	Segunda
29	Guerra
30	Mundial
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	4	nsubj
3	británico	ADJ	2	amod
4	anunció	VERB	0	root
5	hoy	ADV	4	advmod
6	compensará	VERB	4	ccomp
7	con	ADP	9	case
8	10.000	NUM	9	nummod
9	libras	NOUN	6	obl
10	(	PUNCT	13	punct
11	unos	PRON	12	nmod
12	14.000	NUM	13	nummod
13	dólares	NOUN	9	appos
14	)	PUNCT	13	punct
15	a	ADP	17	case
16	cada	DET	17	det
17	uno	PRON	6	obj
18	de	ADP	22	case
19	los	DET	20	det
20	16.700	NUM	22	nummod
21	ex	ADJ	22	amod
22	combatientes	NOUN	17	nmod
23	prisioneros	NOUN	22	nmod
24	en	ADP	25	case
25	Japón	PROPN	23	nmod
26	durante	ADP	28	case
27	la	DET	28	det
28	Segunda	PROPN	22	nmod
29	Guerra	PROPN	28	flat
30	Mundial	PROPN	28	flat
31	.	PUNCT	4	punct