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 organismo que vela por la intimidad personal frente al abuso de las nuevas tecnologías teme que la nueva ley de protección de datos propicie los fraudes.
Postion	Tokenization
1	El
2	organismo
3	que
4	vela
5	por
6	la
7	intimidad
8	personal
9	frente
10	al
11	abuso
12	de
13	las
14	nuevas
15	tecnologías
16	teme
17	que
18	la
19	nueva
20	ley
21	de
22	protección
23	de
24	datos
25	propicie
26	los
27	fraudes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	organismo	NOUN	16	nsubj
3	que	PRON	4	nsubj
4	vela	VERB	2	acl
5	por	ADP	7	case
6	la	DET	7	det
7	intimidad	NOUN	4	obj
8	personal	ADJ	7	amod
9	frente	NOUN	11	case
10	al	ADP	9	fixed
11	abuso	NOUN	7	nmod
12	de	ADP	15	case
13	las	DET	15	det
14	nuevas	ADJ	15	amod
15	tecnologías	NOUN	11	nmod
16	teme	VERB	0	root
17	que	SCONJ	25	mark
18	la	DET	20	det
19	nueva	ADJ	20	amod
20	ley	NOUN	25	nsubj
21	de	ADP	22	case
22	protección	NOUN	20	nmod
23	de	ADP	24	case
24	datos	NOUN	22	nmod
25	propicie	VERB	16	ccomp
26	los	DET	27	det
27	fraudes	NOUN	25	obj
28	.	PUNCT	16	punct