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:
ISABEL GARCIA MARCOS, portavoz socialista en el Ayuntamiento marbellí, anunció ayer la decisión del partido de ejercer la acusación particular.
Postion	Tokenization
1	ISABEL
2	GARCIA
3	MARCOS
4	,
5	portavoz
6	socialista
7	en
8	el
9	Ayuntamiento
10	marbellí
11	,
12	anunció
13	ayer
14	la
15	decisión
16	del
17	partido
18	de
19	ejercer
20	la
21	acusación
22	particular
23	.
Position	Tokenization	UPOS	Head	Deprel
1	ISABEL	PROPN	12	nsubj
2	GARCIA	PROPN	1	flat
3	MARCOS	PROPN	1	flat
4	,	PUNCT	5	punct
5	portavoz	NOUN	1	appos
6	socialista	ADJ	5	amod
7	en	ADP	9	case
8	el	DET	9	det
9	Ayuntamiento	PROPN	5	nmod
10	marbellí	ADJ	9	amod
11	,	PUNCT	5	punct
12	anunció	VERB	0	root
13	ayer	ADV	12	advmod
14	la	DET	15	det
15	decisión	NOUN	12	obj
16	del	ADP	17	case
17	partido	NOUN	15	nmod
18	de	ADP	19	mark
19	ejercer	VERB	15	acl
20	la	DET	21	det
21	acusación	NOUN	19	obj
22	particular	ADJ	21	amod
23	.	PUNCT	12	punct