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 contra de lo muchos podamos pensar, sobre todo cuando pulsamos por equivocación el fatídico comando de eliminar, el ordenador guarda la información en algún pliegue arenoso de su memoria.
Postion	Tokenization
1	En
2	contra
3	de
4	lo
5	muchos
6	podamos
7	pensar
8	,
9	sobre
10	todo
11	cuando
12	pulsamos
13	por
14	equivocación
15	el
16	fatídico
17	comando
18	de
19	eliminar
20	,
21	el
22	ordenador
23	guarda
24	la
25	información
26	en
27	algún
28	pliegue
29	arenoso
30	de
31	su
32	memoria
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	7	mark
2	contra	NOUN	1	fixed
3	de	ADP	1	fixed
4	lo	PRON	7	det
5	muchos	PRON	7	nsubj
6	podamos	AUX	7	aux
7	pensar	VERB	23	advcl
8	,	PUNCT	7	punct
9	sobre	ADP	12	advmod
10	todo	PRON	9	fixed
11	cuando	SCONJ	12	mark
12	pulsamos	VERB	23	advcl
13	por	ADP	14	case
14	equivocación	NOUN	12	obl
15	el	DET	17	det
16	fatídico	ADJ	17	amod
17	comando	NOUN	12	obj
18	de	ADP	19	mark
19	eliminar	VERB	17	acl
20	,	PUNCT	12	punct
21	el	DET	22	det
22	ordenador	NOUN	23	nsubj
23	guarda	VERB	0	root
24	la	DET	25	det
25	información	NOUN	23	obj
26	en	ADP	28	case
27	algún	DET	28	det
28	pliegue	NOUN	23	obl
29	arenoso	ADJ	28	amod
30	de	ADP	32	case
31	su	DET	32	det
32	memoria	NOUN	28	nmod
33	.	PUNCT	23	punct