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:
Según el ministro, "la gente sabe que las decisiones en Gran Bretaña se toman en los presupuestos y no como resultado de los bloqueos".
Postion	Tokenization
1	Según
2	el
3	ministro
4	,
5	"
6	la
7	gente
8	sabe
9	que
10	las
11	decisiones
12	en
13	Gran
14	Bretaña
15	se
16	toman
17	en
18	los
19	presupuestos
20	y
21	no
22	como
23	resultado
24	de
25	los
26	bloqueos
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	ministro	NOUN	8	obl
4	,	PUNCT	3	punct
5	"	PUNCT	8	punct
6	la	DET	7	det
7	gente	NOUN	8	nsubj
8	sabe	VERB	0	root
9	que	SCONJ	16	mark
10	las	DET	11	det
11	decisiones	NOUN	16	nsubj
12	en	ADP	13	case
13	Gran	ADJ	16	obl
14	Bretaña	PROPN	13	flat
15	se	PRON	16	expl:pass
16	toman	VERB	8	ccomp
17	en	ADP	19	case
18	los	DET	19	det
19	presupuestos	NOUN	16	obl
20	y	CCONJ	21	cc
21	no	ADV	16	conj
22	como	ADP	21	case
23	resultado	NOUN	21	obj
24	de	ADP	26	case
25	los	DET	26	det
26	bloqueos	NOUN	23	nmod
27	"	PUNCT	8	punct
28	.	PUNCT	8	punct