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 multas impuestas oscilan entre las 42.000 y las 482.000 pesetas, además de añadir la prohibición de residir en la antigua zona ocupada por Israel en el sur de Líbano por periodos de uno a siete años.
Postion	Tokenization
1	Las
2	multas
3	impuestas
4	oscilan
5	entre
6	las
7	42.000
8	y
9	las
10	482.000
11	pesetas
12	,
13	además
14	de
15	añadir
16	la
17	prohibición
18	de
19	residir
20	en
21	la
22	antigua
23	zona
24	ocupada
25	por
26	Israel
27	en
28	el
29	sur
30	de
31	Líbano
32	por
33	periodos
34	de
35	uno
36	a
37	siete
38	años
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	multas	NOUN	4	nsubj
3	impuestas	ADJ	2	amod
4	oscilan	VERB	13	parataxis
5	entre	ADP	7	case
6	las	DET	7	det
7	42.000	NUM	4	obl
8	y	CCONJ	11	cc
9	las	DET	10	det
10	482.000	NUM	11	nummod
11	pesetas	NOUN	7	conj
12	,	PUNCT	13	punct
13	además	ADV	0	root
14	de	ADP	13	fixed
15	añadir	VERB	13	parataxis
16	la	DET	17	det
17	prohibición	NOUN	15	obj
18	de	ADP	19	mark
19	residir	VERB	17	acl
20	en	ADP	23	case
21	la	DET	23	det
22	antigua	ADJ	23	amod
23	zona	NOUN	19	obl
24	ocupada	ADJ	23	amod
25	por	ADP	26	case
26	Israel	PROPN	24	obj
27	en	ADP	29	case
28	el	DET	29	det
29	sur	NOUN	23	nmod
30	de	ADP	31	case
31	Líbano	PROPN	29	nmod
32	por	ADP	33	case
33	periodos	NOUN	19	obl
34	de	ADP	35	case
35	uno	PRON	33	nmod
36	a	ADP	38	case
37	siete	NUM	38	nummod
38	años	NOUN	35	nmod
39	.	PUNCT	13	punct