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 Govern destinará esa cifra para el fomento del deporte por las federaciones catalanas, para las selecciones catalanas y el plan de Alto Rendimiento de Catalunya (ARC).
Postion	Tokenization
1	El
2	Govern
3	destinará
4	esa
5	cifra
6	para
7	el
8	fomento
9	del
10	deporte
11	por
12	las
13	federaciones
14	catalanas
15	,
16	para
17	las
18	selecciones
19	catalanas
20	y
21	el
22	plan
23	de
24	Alto
25	Rendimiento
26	de
27	Catalunya
28	(
29	ARC
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Govern	PROPN	3	nsubj
3	destinará	VERB	0	root
4	esa	DET	5	det
5	cifra	NOUN	3	obj
6	para	ADP	8	case
7	el	DET	8	det
8	fomento	NOUN	3	obj
9	del	ADP	10	case
10	deporte	NOUN	8	nmod
11	por	ADP	13	case
12	las	DET	13	det
13	federaciones	NOUN	8	nmod
14	catalanas	ADJ	13	amod
15	,	PUNCT	18	punct
16	para	ADP	18	case
17	las	DET	18	det
18	selecciones	NOUN	8	conj
19	catalanas	ADJ	18	amod
20	y	CCONJ	22	cc
21	el	DET	22	det
22	plan	NOUN	18	conj
23	de	ADP	24	case
24	Alto	PROPN	22	nmod
25	Rendimiento	PROPN	24	flat
26	de	ADP	27	case
27	Catalunya	PROPN	24	flat
28	(	PUNCT	29	punct
29	ARC	PROPN	24	flat
30	)	PUNCT	29	punct
31	.	PUNCT	3	punct