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:
Un técnico del sitio de Internet del Gobierno en el que estaba escondida la información descubrió los datos almacenados cuando revisaba el sistema porque había detectado que estaba ocupando demasiada memoria.
Postion	Tokenization
1	Un
2	técnico
3	del
4	sitio
5	de
6	Internet
7	del
8	Gobierno
9	en
10	el
11	que
12	estaba
13	escondida
14	la
15	información
16	descubrió
17	los
18	datos
19	almacenados
20	cuando
21	revisaba
22	el
23	sistema
24	porque
25	había
26	detectado
27	que
28	estaba
29	ocupando
30	demasiada
31	memoria
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	técnico	NOUN	16	nsubj
3	del	ADP	4	case
4	sitio	NOUN	2	nmod
5	de	ADP	6	case
6	Internet	PROPN	4	nmod
7	del	ADP	8	case
8	Gobierno	PROPN	4	nmod
9	en	ADP	11	case
10	el	DET	11	det
11	que	PRON	12	obl
12	estaba	VERB	4	acl
13	escondida	ADJ	12	obj
14	la	DET	15	det
15	información	NOUN	12	nsubj
16	descubrió	VERB	0	root
17	los	DET	18	det
18	datos	NOUN	16	obj
19	almacenados	ADJ	18	amod
20	cuando	SCONJ	21	mark
21	revisaba	VERB	16	advcl
22	el	DET	23	det
23	sistema	NOUN	21	obj
24	porque	SCONJ	26	mark
25	había	AUX	26	aux
26	detectado	VERB	21	advcl
27	que	SCONJ	29	mark
28	estaba	AUX	29	aux
29	ocupando	VERB	26	ccomp
30	demasiada	DET	31	det
31	memoria	NOUN	29	obj
32	.	PUNCT	16	punct