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:
Lo que no sabe es que posiblemente lo que está metiendo en el depósito de su coche no sea gasolina pura sino gasolina que contiene un 5% de etanol.
Postion	Tokenization
1	Lo
2	que
3	no
4	sabe
5	es
6	que
7	posiblemente
8	lo
9	que
10	está
11	metiendo
12	en
13	el
14	depósito
15	de
16	su
17	coche
18	no
19	sea
20	gasolina
21	pura
22	sino
23	gasolina
24	que
25	contiene
26	un
27	5%
28	de
29	etanol
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	5	nsubj
2	que	PRON	4	obj
3	no	ADV	4	advmod
4	sabe	VERB	1	acl
5	es	AUX	0	root
6	que	SCONJ	20	mark
7	posiblemente	ADV	20	advmod
8	lo	PRON	11	det
9	que	PRON	11	obj
10	está	AUX	11	aux
11	metiendo	VERB	20	csubj
12	en	ADP	14	case
13	el	DET	14	det
14	depósito	NOUN	11	obl
15	de	ADP	17	case
16	su	DET	17	det
17	coche	NOUN	14	nmod
18	no	ADV	20	advmod
19	sea	AUX	20	cop
20	gasolina	NOUN	5	ccomp
21	pura	ADJ	20	amod
22	sino	CCONJ	23	cc
23	gasolina	NOUN	20	conj
24	que	PRON	25	nsubj
25	contiene	VERB	23	acl
26	un	DET	27	det
27	5%	SYM	25	obj
28	de	ADP	29	case
29	etanol	NOUN	27	nmod
30	.	PUNCT	5	punct