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 ley de divorcio del año 1981 y la detención y tortura de Quim Boix en 1966 son los hechos que analiza Temps era temps (TV-3, 21.45).
Postion	Tokenization
1	La
2	ley
3	de
4	divorcio
5	del
6	año
7	1981
8	y
9	la
10	detención
11	y
12	tortura
13	de
14	Quim
15	Boix
16	en
17	1966
18	son
19	los
20	hechos
21	que
22	analiza
23	Temps
24	era
25	temps
26	(
27	TV-3
28	,
29	21.45
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ley	NOUN	20	nsubj
3	de	ADP	4	case
4	divorcio	NOUN	2	nmod
5	del	ADP	6	case
6	año	NOUN	2	nmod
7	1981	NUM	6	compound
8	y	CCONJ	10	cc
9	la	DET	10	det
10	detención	NOUN	2	conj
11	y	CCONJ	12	cc
12	tortura	NOUN	10	conj
13	de	ADP	14	case
14	Quim	PROPN	10	nmod
15	Boix	PROPN	14	flat
16	en	ADP	17	case
17	1966	NOUN	10	nmod
18	son	AUX	20	cop
19	los	DET	20	det
20	hechos	NOUN	0	root
21	que	PRON	22	obj
22	analiza	VERB	20	acl
23	Temps	PROPN	22	nsubj
24	era	PROPN	23	flat
25	temps	PROPN	23	flat
26	(	PUNCT	27	punct
27	TV-3	PROPN	23	nmod
28	,	PUNCT	27	punct
29	21.45	NOUN	27	appos
30	)	PUNCT	27	punct
31	.	PUNCT	20	punct