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:
Silva defendió que el ministerio de Agricultura distribuya los recursos tomando en cuenta los criterios de los responsables regionales, poniendo como ejemplo "la eficacia" de España en este aspecto.
Postion	Tokenization
1	Silva
2	defendió
3	que
4	el
5	ministerio
6	de
7	Agricultura
8	distribuya
9	los
10	recursos
11	tomando
12	en
13	cuenta
14	los
15	criterios
16	de
17	los
18	responsables
19	regionales
20	,
21	poniendo
22	como
23	ejemplo
24	"
25	la
26	eficacia
27	"
28	de
29	España
30	en
31	este
32	aspecto
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Silva	PROPN	2	nsubj
2	defendió	VERB	0	root
3	que	SCONJ	8	mark
4	el	DET	5	det
5	ministerio	NOUN	8	nsubj
6	de	ADP	7	case
7	Agricultura	PROPN	5	nmod
8	distribuya	VERB	2	ccomp
9	los	DET	10	det
10	recursos	NOUN	8	obj
11	tomando	VERB	8	advcl
12	en	ADP	13	case
13	cuenta	NOUN	11	compound
14	los	DET	15	det
15	criterios	NOUN	11	obj
16	de	ADP	18	case
17	los	DET	18	det
18	responsables	NOUN	15	nmod
19	regionales	ADJ	18	amod
20	,	PUNCT	11	punct
21	poniendo	VERB	11	advcl
22	como	SCONJ	23	mark
23	ejemplo	NOUN	21	obj
24	"	PUNCT	26	punct
25	la	DET	26	det
26	eficacia	NOUN	21	obj
27	"	PUNCT	26	punct
28	de	ADP	29	case
29	España	PROPN	26	nmod
30	en	ADP	32	case
31	este	DET	32	det
32	aspecto	NOUN	26	nmod
33	.	PUNCT	2	punct