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:
Las compensaciones fueron anunciadas en la Cámara de los Comunes por el secretario de Estado de Defensa, Lewis Moonie, quien informó que la indemnización estará libre de impuestos.
Postion	Tokenization
1	Las
2	compensaciones
3	fueron
4	anunciadas
5	en
6	la
7	Cámara
8	de
9	los
10	Comunes
11	por
12	el
13	secretario
14	de
15	Estado
16	de
17	Defensa
18	,
19	Lewis
20	Moonie
21	,
22	quien
23	informó
24	que
25	la
26	indemnización
27	estará
28	libre
29	de
30	impuestos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	compensaciones	NOUN	4	nsubj
3	fueron	AUX	4	aux
4	anunciadas	VERB	0	root
5	en	ADP	7	case
6	la	DET	7	det
7	Cámara	PROPN	4	obl
8	de	ADP	10	case
9	los	DET	10	det
10	Comunes	PROPN	7	flat
11	por	ADP	13	case
12	el	DET	13	det
13	secretario	NOUN	4	obj
14	de	ADP	15	case
15	Estado	PROPN	13	nmod
16	de	ADP	17	case
17	Defensa	PROPN	15	flat
18	,	PUNCT	19	punct
19	Lewis	PROPN	13	appos
20	Moonie	PROPN	19	flat
21	,	PUNCT	23	punct
22	quien	PRON	23	nsubj
23	informó	VERB	13	acl
24	que	SCONJ	28	mark
25	la	DET	26	det
26	indemnización	NOUN	28	nsubj
27	estará	AUX	28	cop
28	libre	ADJ	23	ccomp
29	de	ADP	30	case
30	impuestos	NOUN	28	nmod
31	.	PUNCT	4	punct