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 precio del carburante en Suecia es casi el mismo aunque la distancia entre dos gasolineras sea de más de 1.000 kilómetros.
Postion	Tokenization
1	El
2	precio
3	del
4	carburante
5	en
6	Suecia
7	es
8	casi
9	el
10	mismo
11	aunque
12	la
13	distancia
14	entre
15	dos
16	gasolineras
17	sea
18	de
19	más
20	de
21	1.000
22	kilómetros
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	precio	NOUN	10	nsubj
3	del	ADP	4	case
4	carburante	NOUN	2	nmod
5	en	ADP	6	case
6	Suecia	PROPN	2	nmod
7	es	AUX	10	cop
8	casi	ADV	10	advmod
9	el	DET	10	det
10	mismo	PRON	0	root
11	aunque	SCONJ	22	mark
12	la	DET	13	det
13	distancia	NOUN	22	nsubj
14	entre	ADP	16	case
15	dos	NUM	16	nummod
16	gasolineras	NOUN	13	nmod
17	sea	AUX	22	cop
18	de	ADP	22	case
19	más	ADV	22	advmod
20	de	ADP	19	case
21	1.000	NUM	19	nummod
22	kilómetros	NOUN	10	advcl
23	.	PUNCT	10	punct