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:
Afirmó, además, que es necesario "sentarse y hablar", y exhortó a todas las fuerzas a "hacerlo ya".
Postion	Tokenization
1	Afirmó
2	,
3	además
4	,
5	que
6	es
7	necesario
8	"
9	sentarse
10	sentar
11	se
12	y
13	hablar
14	"
15	,
16	y
17	exhortó
18	a
19	todas
20	las
21	fuerzas
22	a
23	"
24	hacerlo
25	hacer
26	lo
27	ya
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Afirmó	VERB	0	root
2	,	PUNCT	3	punct
3	además	ADV	1	advmod
4	,	PUNCT	3	punct
5	que	SCONJ	7	mark
6	es	AUX	7	cop
7	necesario	ADJ	1	ccomp
8	"	PUNCT	9	punct
9	sentarse	_	None	_
10	sentar	VERB	7	csubj
11	se	PRON	9	expl:pv
12	y	CCONJ	12	cc
13	hablar	VERB	9	conj
14	"	PUNCT	9	punct
15	,	PUNCT	16	punct
16	y	CCONJ	16	cc
17	exhortó	VERB	1	conj
18	a	ADP	20	case
19	todas	DET	19	det
20	las	DET	20	det
21	fuerzas	NOUN	16	iobj
22	a	ADP	23	mark
23	"	PUNCT	23	punct
24	hacerlo	_	None	_
25	hacer	VERB	16	xcomp
26	lo	PRON	23	obj
27	ya	ADV	23	advmod
28	"	PUNCT	23	punct
29	.	PUNCT	1	punct