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:
Rodés propuso que el presupuesto de cada centro se otorgue en función de los resultados obtenidos y lamentó que exista una "verdadera clase de científicos funcionarios".
Postion	Tokenization
1	Rodés
2	propuso
3	que
4	el
5	presupuesto
6	de
7	cada
8	centro
9	se
10	otorgue
11	en
12	función
13	de
14	los
15	resultados
16	obtenidos
17	y
18	lamentó
19	que
20	exista
21	una
22	"
23	verdadera
24	clase
25	de
26	científicos
27	funcionarios
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Rodés	PROPN	2	nsubj
2	propuso	VERB	0	root
3	que	SCONJ	10	mark
4	el	DET	5	det
5	presupuesto	NOUN	10	nsubj
6	de	ADP	8	case
7	cada	DET	8	det
8	centro	NOUN	5	nmod
9	se	PRON	10	expl:pass
10	otorgue	VERB	2	ccomp
11	en	ADP	15	case
12	función	NOUN	11	fixed
13	de	ADP	11	fixed
14	los	DET	15	det
15	resultados	NOUN	10	obl
16	obtenidos	ADJ	15	amod
17	y	CCONJ	18	cc
18	lamentó	VERB	2	conj
19	que	SCONJ	20	mark
20	exista	VERB	18	ccomp
21	una	DET	24	det
22	"	PUNCT	24	punct
23	verdadera	ADJ	24	amod
24	clase	NOUN	20	nsubj
25	de	ADP	26	case
26	científicos	NOUN	24	nmod
27	funcionarios	NOUN	26	nmod
28	"	PUNCT	24	punct
29	.	PUNCT	2	punct