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 empresa que fletó el buque, Totalfina, calificó de "mentira" dicha información y añadió que el combustible era para la compañía eléctrica italiana Enel.
Postion	Tokenization
1	La
2	empresa
3	que
4	fletó
5	el
6	buque
7	,
8	Totalfina
9	,
10	calificó
11	de
12	"
13	mentira
14	"
15	dicha
16	información
17	y
18	añadió
19	que
20	el
21	combustible
22	era
23	para
24	la
25	compañía
26	eléctrica
27	italiana
28	Enel
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	empresa	NOUN	10	nsubj
3	que	PRON	4	nsubj
4	fletó	VERB	2	acl
5	el	DET	6	det
6	buque	NOUN	4	obj
7	,	PUNCT	8	punct
8	Totalfina	PROPN	2	appos
9	,	PUNCT	8	punct
10	calificó	VERB	0	root
11	de	ADP	13	case
12	"	PUNCT	13	punct
13	mentira	NOUN	10	obj
14	"	PUNCT	13	punct
15	dicha	ADJ	16	amod
16	información	NOUN	10	obj
17	y	CCONJ	18	cc
18	añadió	VERB	10	conj
19	que	SCONJ	25	mark
20	el	DET	21	det
21	combustible	NOUN	25	nsubj
22	era	AUX	25	cop
23	para	ADP	25	case
24	la	DET	25	det
25	compañía	NOUN	18	ccomp
26	eléctrica	ADJ	25	amod
27	italiana	ADJ	25	amod
28	Enel	PROPN	25	appos
29	.	PUNCT	10	punct