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:
Agregó que si durante la presidencia portuguesa de la UE "se consiguiese modificar este estado de cosas, ello significaría una gran contribución para la agricultura portuguesa".
Postion	Tokenization
1	Agregó
2	que
3	si
4	durante
5	la
6	presidencia
7	portuguesa
8	de
9	la
10	UE
11	"
12	se
13	consiguiese
14	modificar
15	este
16	estado
17	de
18	cosas
19	,
20	ello
21	significaría
22	una
23	gran
24	contribución
25	para
26	la
27	agricultura
28	portuguesa
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Agregó	VERB	0	root
2	que	SCONJ	21	mark
3	si	SCONJ	13	mark
4	durante	ADP	6	case
5	la	DET	6	det
6	presidencia	NOUN	13	obl
7	portuguesa	ADJ	6	amod
8	de	ADP	10	case
9	la	DET	10	det
10	UE	PROPN	6	nmod
11	"	PUNCT	13	punct
12	se	PRON	13	expl:pass
13	consiguiese	VERB	21	advcl
14	modificar	VERB	13	csubj
15	este	DET	16	det
16	estado	NOUN	14	obj
17	de	ADP	18	case
18	cosas	NOUN	16	nmod
19	,	PUNCT	13	punct
20	ello	PRON	21	nsubj
21	significaría	VERB	1	ccomp
22	una	DET	24	det
23	gran	ADJ	24	amod
24	contribución	NOUN	21	obj
25	para	ADP	27	case
26	la	DET	27	det
27	agricultura	NOUN	21	obl
28	portuguesa	ADJ	27	amod
29	"	PUNCT	21	punct
30	.	PUNCT	1	punct