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:
Mientras tanto, las organizaciones defensoras de derechos civiles se aprestan a argumentar ante esos mismos jueces la necesidad de proteger la información personal y, por ende, al ordenador personal.
Postion	Tokenization
1	Mientras
2	tanto
3	,
4	las
5	organizaciones
6	defensoras
7	de
8	derechos
9	civiles
10	se
11	aprestan
12	a
13	argumentar
14	ante
15	esos
16	mismos
17	jueces
18	la
19	necesidad
20	de
21	proteger
22	la
23	información
24	personal
25	y
26	,
27	por
28	ende
29	,
30	al
31	ordenador
32	personal
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	CCONJ	11	advmod
2	tanto	NOUN	1	fixed
3	,	PUNCT	1	punct
4	las	DET	5	det
5	organizaciones	NOUN	11	nsubj
6	defensoras	NOUN	5	nmod
7	de	ADP	8	case
8	derechos	NOUN	6	nmod
9	civiles	ADJ	8	amod
10	se	PRON	11	obj
11	aprestan	VERB	0	root
12	a	ADP	13	mark
13	argumentar	VERB	11	advcl
14	ante	ADP	17	case
15	esos	DET	17	det
16	mismos	DET	15	det
17	jueces	NOUN	13	obl
18	la	DET	19	det
19	necesidad	NOUN	13	obj
20	de	ADP	21	mark
21	proteger	VERB	19	acl
22	la	DET	23	det
23	información	NOUN	21	obj
24	personal	ADJ	23	amod
25	y	CCONJ	27	cc
26	,	PUNCT	27	punct
27	por	ADP	23	conj
28	ende	NOUN	27	fixed
29	,	PUNCT	27	punct
30	al	ADP	27	case
31	ordenador	NOUN	27	nmod
32	personal	ADJ	31	amod
33	.	PUNCT	11	punct