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 ministro afirmó que el respaldo de la administración estadounidense confirma los esfuerzos que efectúa el Gobierno por superar la crisis económica que ha sido calificada como una de las peores de su historia.
Postion	Tokenization
1	El
2	ministro
3	afirmó
4	que
5	el
6	respaldo
7	de
8	la
9	administración
10	estadounidense
11	confirma
12	los
13	esfuerzos
14	que
15	efectúa
16	el
17	Gobierno
18	por
19	superar
20	la
21	crisis
22	económica
23	que
24	ha
25	sido
26	calificada
27	como
28	una
29	de
30	las
31	peores
32	de
33	su
34	historia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ministro	NOUN	3	nsubj
3	afirmó	VERB	0	root
4	que	SCONJ	11	mark
5	el	DET	6	det
6	respaldo	NOUN	11	nsubj
7	de	ADP	9	case
8	la	DET	9	det
9	administración	NOUN	6	nmod
10	estadounidense	ADJ	9	amod
11	confirma	VERB	3	ccomp
12	los	DET	13	det
13	esfuerzos	NOUN	11	obj
14	que	PRON	15	obj
15	efectúa	VERB	13	acl
16	el	DET	17	det
17	Gobierno	PROPN	15	nsubj
18	por	ADP	19	mark
19	superar	VERB	13	acl
20	la	DET	21	det
21	crisis	NOUN	19	obj
22	económica	ADJ	21	amod
23	que	PRON	26	nsubj
24	ha	AUX	26	aux
25	sido	AUX	26	aux
26	calificada	VERB	21	acl
27	como	SCONJ	28	mark
28	una	PRON	26	obj
29	de	ADP	31	case
30	las	DET	31	det
31	peores	ADJ	28	amod
32	de	ADP	34	case
33	su	DET	34	det
34	historia	NOUN	31	nmod
35	.	PUNCT	3	punct