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 26 de marzo, el juez Garzón y el fiscal David Martínez Madero llegaron a Puerto Rico para interrogar a dos ex altos cargos del BBV relacionados con un caso de lavado de dinero.
Postion	Tokenization
1	El
2	26
3	de
4	marzo
5	,
6	el
7	juez
8	Garzón
9	y
10	el
11	fiscal
12	David
13	Martínez
14	Madero
15	llegaron
16	a
17	Puerto
18	Rico
19	para
20	interrogar
21	a
22	dos
23	ex
24	altos
25	cargos
26	del
27	BBV
28	relacionados
29	con
30	un
31	caso
32	de
33	lavado
34	de
35	dinero
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	26	NUM	15	obl
3	de	ADP	4	case
4	marzo	NOUN	2	compound
5	,	PUNCT	2	punct
6	el	DET	7	det
7	juez	NOUN	15	nsubj
8	Garzón	PROPN	7	appos
9	y	CCONJ	11	cc
10	el	DET	11	det
11	fiscal	NOUN	7	conj
12	David	PROPN	11	appos
13	Martínez	PROPN	12	flat
14	Madero	PROPN	12	flat
15	llegaron	VERB	0	root
16	a	ADP	17	case
17	Puerto	PROPN	15	obl
18	Rico	PROPN	17	flat
19	para	ADP	20	mark
20	interrogar	VERB	15	advcl
21	a	ADP	24	case
22	dos	NUM	24	nummod
23	ex	ADJ	24	amod
24	altos	NOUN	20	obj
25	cargos	NOUN	24	compound
26	del	ADP	27	case
27	BBV	PROPN	24	nmod
28	relacionados	ADJ	24	amod
29	con	ADP	31	case
30	un	DET	31	det
31	caso	NOUN	28	obj
32	de	ADP	33	case
33	lavado	ADJ	31	amod
34	de	ADP	35	case
35	dinero	NOUN	33	nmod
36	.	PUNCT	15	punct