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:
Los submarinos de la OTAN y el observatorio sismológico noruego Norsar, detectaron el 12 de agosto dos explosiones consecutivas en la zona del "Kursk", la segunda de mucha mayor intensidad.
Postion	Tokenization
1	Los
2	submarinos
3	de
4	la
5	OTAN
6	y
7	el
8	observatorio
9	sismológico
10	noruego
11	Norsar
12	,
13	detectaron
14	el
15	12
16	de
17	agosto
18	dos
19	explosiones
20	consecutivas
21	en
22	la
23	zona
24	del
25	"
26	Kursk
27	"
28	,
29	la
30	segunda
31	de
32	mucha
33	mayor
34	intensidad
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	submarinos	NOUN	13	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	OTAN	PROPN	2	nmod
6	y	CCONJ	8	cc
7	el	DET	8	det
8	observatorio	NOUN	2	conj
9	sismológico	ADJ	8	amod
10	noruego	ADJ	8	amod
11	Norsar	PROPN	8	appos
12	,	PUNCT	2	punct
13	detectaron	VERB	0	root
14	el	DET	15	det
15	12	NUM	13	obl
16	de	ADP	17	case
17	agosto	NOUN	15	compound
18	dos	NUM	19	nummod
19	explosiones	NOUN	13	obj
20	consecutivas	ADJ	19	amod
21	en	ADP	23	case
22	la	DET	23	det
23	zona	NOUN	13	obl
24	del	ADP	26	case
25	"	PUNCT	26	punct
26	Kursk	PROPN	23	nmod
27	"	PUNCT	26	punct
28	,	PUNCT	30	punct
29	la	DET	30	det
30	segunda	ADJ	13	obl
31	de	ADP	34	case
32	mucha	DET	34	det
33	mayor	ADJ	34	amod
34	intensidad	NOUN	30	nmod
35	.	PUNCT	13	punct