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 argumentar la actividad delictiva de los acusados, Garzón invocó un auto que él mismo dictó el pasado 4 de abril y en el que declara la ilicitud de Ekin.
Postion	Tokenization
1	Para
2	argumentar
3	la
4	actividad
5	delictiva
6	de
7	los
8	acusados
9	,
10	Garzón
11	invocó
12	un
13	auto
14	que
15	él
16	mismo
17	dictó
18	el
19	pasado
20	4
21	de
22	abril
23	y
24	en
25	el
26	que
27	declara
28	la
29	ilicitud
30	de
31	Ekin
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	argumentar	VERB	11	advcl
3	la	DET	4	det
4	actividad	NOUN	2	obj
5	delictiva	ADJ	4	amod
6	de	ADP	8	case
7	los	DET	8	det
8	acusados	ADJ	4	amod
9	,	PUNCT	2	punct
10	Garzón	PROPN	11	nsubj
11	invocó	VERB	0	root
12	un	DET	13	det
13	auto	NOUN	11	obj
14	que	PRON	17	obj
15	él	PRON	17	nsubj
16	mismo	ADJ	15	amod
17	dictó	VERB	13	acl
18	el	DET	20	det
19	pasado	ADJ	20	amod
20	4	NUM	17	obl
21	de	ADP	22	case
22	abril	NOUN	20	compound
23	y	CCONJ	27	cc
24	en	ADP	26	case
25	el	DET	26	det
26	que	PRON	27	obl
27	declara	VERB	17	conj
28	la	DET	29	det
29	ilicitud	NOUN	27	obj
30	de	ADP	31	case
31	Ekin	PROPN	29	nmod
32	.	PUNCT	11	punct