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 Consell Català de l'Esport, nuevo órgano autónomo aprobado por la Generalitat, se encargará de conceder y gestionar subvenciones, concepto en el que se destinan 592 millones.
Postion	Tokenization
1	El
2	Consell
3	Català
4	de
5	l'Esport
6	,
7	nuevo
8	órgano
9	autónomo
10	aprobado
11	por
12	la
13	Generalitat
14	,
15	se
16	encargará
17	de
18	conceder
19	y
20	gestionar
21	subvenciones
22	,
23	concepto
24	en
25	el
26	que
27	se
28	destinan
29	592
30	millones
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Consell	PROPN	16	nsubj
3	Català	PROPN	2	flat
4	de	ADP	5	case
5	l'Esport	PROPN	2	flat
6	,	PUNCT	8	punct
7	nuevo	ADJ	8	amod
8	órgano	NOUN	2	appos
9	autónomo	ADJ	8	amod
10	aprobado	ADJ	8	amod
11	por	ADP	13	case
12	la	DET	13	det
13	Generalitat	PROPN	10	obj
14	,	PUNCT	8	punct
15	se	PRON	16	expl:pv
16	encargará	VERB	0	root
17	de	ADP	18	mark
18	conceder	VERB	16	xcomp
19	y	CCONJ	20	cc
20	gestionar	VERB	18	conj
21	subvenciones	NOUN	18	obj
22	,	PUNCT	23	punct
23	concepto	NOUN	21	appos
24	en	ADP	26	case
25	el	DET	26	det
26	que	PRON	28	obl
27	se	PRON	28	expl:pass
28	destinan	VERB	23	acl
29	592	NUM	30	nummod
30	millones	NOUN	28	nsubj
31	.	PUNCT	16	punct