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:
Otras fuentes científicas desmintieron de plano la hipótesis, mientras filtraciones oficiosas de fuentes navales informaron de que un misil-torpedo ruso impactó en el "Kursk".
Postion	Tokenization
1	Otras
2	fuentes
3	científicas
4	desmintieron
5	de
6	plano
7	la
8	hipótesis
9	,
10	mientras
11	filtraciones
12	oficiosas
13	de
14	fuentes
15	navales
16	informaron
17	de
18	que
19	un
20	misil-torpedo
21	ruso
22	impactó
23	en
24	el
25	"
26	Kursk
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Otras	DET	2	det
2	fuentes	NOUN	4	nsubj
3	científicas	ADJ	2	amod
4	desmintieron	VERB	0	root
5	de	ADP	4	advmod
6	plano	NOUN	5	fixed
7	la	DET	8	det
8	hipótesis	NOUN	4	obj
9	,	PUNCT	16	punct
10	mientras	CCONJ	16	cc
11	filtraciones	NOUN	16	nsubj
12	oficiosas	ADJ	11	amod
13	de	ADP	14	case
14	fuentes	NOUN	11	nmod
15	navales	ADJ	14	amod
16	informaron	VERB	4	conj
17	de	ADP	22	mark
18	que	SCONJ	22	mark
19	un	DET	20	det
20	misil-torpedo	NOUN	22	nsubj
21	ruso	ADJ	20	amod
22	impactó	VERB	16	ccomp
23	en	ADP	26	case
24	el	DET	26	det
25	"	PUNCT	26	punct
26	Kursk	PROPN	22	obj
27	"	PUNCT	26	punct
28	.	PUNCT	4	punct