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 Gobierno del presidente Gustavo Noboa ha ratificado que aplicará los ajustes sugeridos por el FMI, pues de ellos depende el equilibrio económico de la nación y la superación de la agobiante crisis económica.
Postion	Tokenization
1	El
2	Gobierno
3	del
4	presidente
5	Gustavo
6	Noboa
7	ha
8	ratificado
9	que
10	aplicará
11	los
12	ajustes
13	sugeridos
14	por
15	el
16	FMI
17	,
18	pues
19	de
20	ellos
21	depende
22	el
23	equilibrio
24	económico
25	de
26	la
27	nación
28	y
29	la
30	superación
31	de
32	la
33	agobiante
34	crisis
35	económica
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	8	nsubj
3	del	ADP	4	case
4	presidente	NOUN	2	nmod
5	Gustavo	PROPN	4	appos
6	Noboa	PROPN	5	flat
7	ha	AUX	8	aux
8	ratificado	VERB	0	root
9	que	SCONJ	10	mark
10	aplicará	VERB	8	ccomp
11	los	DET	12	det
12	ajustes	NOUN	10	obj
13	sugeridos	ADJ	12	amod
14	por	ADP	16	case
15	el	DET	16	det
16	FMI	PROPN	13	obj
17	,	PUNCT	21	punct
18	pues	SCONJ	21	mark
19	de	ADP	20	case
20	ellos	PRON	21	obj
21	depende	VERB	10	advcl
22	el	DET	23	det
23	equilibrio	NOUN	21	nsubj
24	económico	ADJ	23	amod
25	de	ADP	27	case
26	la	DET	27	det
27	nación	NOUN	23	nmod
28	y	CCONJ	30	cc
29	la	DET	30	det
30	superación	NOUN	23	conj
31	de	ADP	34	case
32	la	DET	34	det
33	agobiante	ADJ	34	amod
34	crisis	NOUN	30	nmod
35	económica	ADJ	34	amod
36	.	PUNCT	8	punct