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:
Además, señaló que "ójala, todos estuviesen facilitando la situación con la misma determinación, claridad y conocimiento de las cosas" como él está haciendo.
Postion	Tokenization
1	Además
2	,
3	señaló
4	que
5	"
6	ójala
7	,
8	todos
9	estuviesen
10	facilitando
11	la
12	situación
13	con
14	la
15	misma
16	determinación
17	,
18	claridad
19	y
20	conocimiento
21	de
22	las
23	cosas
24	"
25	como
26	él
27	está
28	haciendo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	3	advmod
2	,	PUNCT	1	punct
3	señaló	VERB	0	root
4	que	SCONJ	10	mark
5	"	PUNCT	10	punct
6	ójala	INTJ	10	dep
7	,	PUNCT	6	punct
8	todos	PRON	10	nsubj
9	estuviesen	AUX	10	aux
10	facilitando	VERB	3	ccomp
11	la	DET	12	det
12	situación	NOUN	10	obj
13	con	ADP	16	case
14	la	DET	16	det
15	misma	DET	14	det
16	determinación	NOUN	10	obl
17	,	PUNCT	18	punct
18	claridad	NOUN	16	appos
19	y	CCONJ	20	cc
20	conocimiento	NOUN	16	conj
21	de	ADP	23	case
22	las	DET	23	det
23	cosas	NOUN	20	nmod
24	"	PUNCT	10	punct
25	como	SCONJ	28	mark
26	él	PRON	28	nsubj
27	está	AUX	28	aux
28	haciendo	VERB	10	advcl
29	.	PUNCT	3	punct