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:
Asimismo, la OTAN reveló haber tenido conocimiento de una nueva masacre de refugiados en la localidad de Mega, Según informó el portavoz de la OTAN, Jamie Shea.
Postion	Tokenization
1	Asimismo
2	,
3	la
4	OTAN
5	reveló
6	haber
7	tenido
8	conocimiento
9	de
10	una
11	nueva
12	masacre
13	de
14	refugiados
15	en
16	la
17	localidad
18	de
19	Mega
20	,
21	Según
22	informó
23	el
24	portavoz
25	de
26	la
27	OTAN
28	,
29	Jamie
30	Shea
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	5	advmod
2	,	PUNCT	1	punct
3	la	DET	4	det
4	OTAN	PROPN	5	nsubj
5	reveló	VERB	0	root
6	haber	AUX	7	aux
7	tenido	VERB	5	ccomp
8	conocimiento	NOUN	7	obj
9	de	ADP	12	case
10	una	DET	12	det
11	nueva	ADJ	12	amod
12	masacre	NOUN	8	nmod
13	de	ADP	14	case
14	refugiados	NOUN	12	nmod
15	en	ADP	17	case
16	la	DET	17	det
17	localidad	NOUN	12	nmod
18	de	ADP	19	case
19	Mega	PROPN	17	nmod
20	,	PUNCT	22	punct
21	Según	SCONJ	22	mark
22	informó	VERB	5	advcl
23	el	DET	24	det
24	portavoz	NOUN	22	nsubj
25	de	ADP	27	case
26	la	DET	27	det
27	OTAN	PROPN	24	nmod
28	,	PUNCT	29	punct
29	Jamie	PROPN	24	appos
30	Shea	PROPN	29	flat
31	.	PUNCT	5	punct