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:
De esta forma conseguirían que el proceso se dilatara por espacio de de unos tres años, con lo cual, cuando se resuelva, estará totalmente superado.
Postion	Tokenization
1	De
2	esta
3	forma
4	conseguirían
5	que
6	el
7	proceso
8	se
9	dilatara
10	por
11	espacio
12	de
13	de
14	unos
15	tres
16	años
17	,
18	con
19	lo
20	cual
21	,
22	cuando
23	se
24	resuelva
25	,
26	estará
27	totalmente
28	superado
29	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	esta	DET	3	det
3	forma	NOUN	4	obl
4	conseguirían	VERB	0	root
5	que	SCONJ	9	mark
6	el	DET	7	det
7	proceso	NOUN	9	nsubj
8	se	PRON	9	expl:pass
9	dilatara	VERB	4	ccomp
10	por	ADP	16	case
11	espacio	NOUN	10	fixed
12	de	ADP	10	fixed
13	de	ADP	10	fixed
14	unos	DET	16	det
15	tres	NUM	14	nummod
16	años	NOUN	9	obl
17	,	PUNCT	28	punct
18	con	ADP	28	case
19	lo	PRON	28	det
20	cual	PRON	28	obl
21	,	PUNCT	24	punct
22	cuando	SCONJ	24	mark
23	se	PRON	24	expl:pass
24	resuelva	VERB	28	advcl
25	,	PUNCT	24	punct
26	estará	AUX	28	cop
27	totalmente	ADV	28	advmod
28	superado	ADJ	4	advcl
29	.	PUNCT	4	punct