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:
La petrolera hispanoargentina explicó que sólo ha repercutido parte de las 254 pesetas de incremento del coste de la materia prima desde que fijó la última tarifa.
Postion	Tokenization
1	La
2	petrolera
3	hispanoargentina
4	explicó
5	que
6	sólo
7	ha
8	repercutido
9	parte
10	de
11	las
12	254
13	pesetas
14	de
15	incremento
16	del
17	coste
18	de
19	la
20	materia
21	prima
22	desde
23	que
24	fijó
25	la
26	última
27	tarifa
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	petrolera	NOUN	4	nsubj
3	hispanoargentina	ADJ	2	amod
4	explicó	VERB	0	root
5	que	SCONJ	8	mark
6	sólo	ADV	8	advmod
7	ha	AUX	8	aux
8	repercutido	VERB	4	ccomp
9	parte	NOUN	8	obj
10	de	ADP	13	case
11	las	DET	12	det
12	254	NUM	13	nummod
13	pesetas	NOUN	9	nmod
14	de	ADP	15	case
15	incremento	NOUN	13	nmod
16	del	ADP	17	case
17	coste	NOUN	15	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	materia	NOUN	17	nmod
21	prima	ADJ	20	amod
22	desde	ADP	24	mark
23	que	SCONJ	24	mark
24	fijó	VERB	8	advcl
25	la	DET	27	det
26	última	ADJ	27	amod
27	tarifa	NOUN	24	obj
28	.	PUNCT	4	punct