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:
El grupo de parlamentarios, según informó la Cancillería en un comunicado, acopiará información para instrumentar la forma de ayuda requerida para la reconstrucción de las zonas más afectadas por el fenómeno natural.
Postion	Tokenization
1	El
2	grupo
3	de
4	parlamentarios
5	,
6	según
7	informó
8	la
9	Cancillería
10	en
11	un
12	comunicado
13	,
14	acopiará
15	información
16	para
17	instrumentar
18	la
19	forma
20	de
21	ayuda
22	requerida
23	para
24	la
25	reconstrucción
26	de
27	las
28	zonas
29	más
30	afectadas
31	por
32	el
33	fenómeno
34	natural
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	grupo	NOUN	14	nsubj
3	de	ADP	4	case
4	parlamentarios	NOUN	2	nmod
5	,	PUNCT	7	punct
6	según	SCONJ	7	mark
7	informó	VERB	14	advcl
8	la	DET	9	det
9	Cancillería	PROPN	7	nsubj
10	en	ADP	12	case
11	un	DET	12	det
12	comunicado	NOUN	7	obl
13	,	PUNCT	7	punct
14	acopiará	VERB	0	root
15	información	NOUN	14	obj
16	para	ADP	17	mark
17	instrumentar	VERB	14	advcl
18	la	DET	19	det
19	forma	NOUN	17	obj
20	de	ADP	21	case
21	ayuda	NOUN	19	nmod
22	requerida	ADJ	21	amod
23	para	ADP	25	case
24	la	DET	25	det
25	reconstrucción	NOUN	22	obl
26	de	ADP	28	case
27	las	DET	28	det
28	zonas	NOUN	25	nmod
29	más	ADV	30	advmod
30	afectadas	ADJ	28	amod
31	por	ADP	33	case
32	el	DET	33	det
33	fenómeno	NOUN	30	obj
34	natural	ADJ	33	amod
35	.	PUNCT	14	punct