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:
Para los abogados de De la Rosa, la causa kuwaití debe prevalecer sobre la española, ya que comenzó a instruirse en 1992, un año antes que el procedimiento de Madrid.
Postion	Tokenization
1	Para
2	los
3	abogados
4	de
5	De
6	la
7	Rosa
8	,
9	la
10	causa
11	kuwaití
12	debe
13	prevalecer
14	sobre
15	la
16	española
17	,
18	ya
19	que
20	comenzó
21	a
22	instruirse
23	instruir
24	se
25	en
26	1992
27	,
28	un
29	año
30	antes
31	que
32	el
33	procedimiento
34	de
35	Madrid
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	los	DET	3	det
3	abogados	NOUN	13	obl
4	de	ADP	7	case
5	De	ADP	7	case
6	la	DET	7	det
7	Rosa	PROPN	3	nmod
8	,	PUNCT	3	punct
9	la	DET	10	det
10	causa	NOUN	13	nsubj
11	kuwaití	ADJ	10	amod
12	debe	AUX	13	aux
13	prevalecer	VERB	0	root
14	sobre	ADP	16	case
15	la	DET	16	det
16	española	ADJ	13	advmod
17	,	PUNCT	20	punct
18	ya	ADV	20	mark
19	que	SCONJ	18	fixed
20	comenzó	VERB	13	advcl
21	a	ADP	22	mark
22	instruirse	_	None	_
23	instruir	VERB	20	xcomp
24	se	PRON	22	expl:pass
25	en	ADP	25	case
26	1992	NOUN	20	obl
27	,	PUNCT	29	punct
28	un	DET	28	det
29	año	NOUN	29	obl
30	antes	ADV	25	advmod
31	que	SCONJ	32	mark
32	el	DET	32	det
33	procedimiento	NOUN	29	obl
34	de	ADP	34	case
35	Madrid	PROPN	32	nmod
36	.	PUNCT	13	punct