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:
En la lista de procesados figuran los abogados de Gestoras pro Amnistía José María Matanzas, como presunto coordinador de los presos etarras, y Natale Landa.
Postion	Tokenization
1	En
2	la
3	lista
4	de
5	procesados
6	figuran
7	los
8	abogados
9	de
10	Gestoras
11	pro
12	Amnistía
13	José
14	María
15	Matanzas
16	,
17	como
18	presunto
19	coordinador
20	de
21	los
22	presos
23	etarras
24	,
25	y
26	Natale
27	Landa
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	lista	NOUN	6	obl
4	de	ADP	5	case
5	procesados	NOUN	3	nmod
6	figuran	VERB	0	root
7	los	DET	8	det
8	abogados	NOUN	6	nsubj
9	de	ADP	10	case
10	Gestoras	PROPN	8	nmod
11	pro	PROPN	10	flat
12	Amnistía	PROPN	10	flat
13	José	PROPN	8	appos
14	María	PROPN	13	flat
15	Matanzas	PROPN	13	flat
16	,	PUNCT	19	punct
17	como	SCONJ	19	mark
18	presunto	ADJ	19	amod
19	coordinador	NOUN	13	nmod
20	de	ADP	22	case
21	los	DET	22	det
22	presos	NOUN	19	nmod
23	etarras	ADJ	22	amod
24	,	PUNCT	19	punct
25	y	CCONJ	26	cc
26	Natale	PROPN	13	conj
27	Landa	PROPN	26	flat
28	.	PUNCT	6	punct