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:
"Los triunfos de la selección han sido importantes, pero no ha existido un boom, sino un crecimiento constante que se mantiene cada año entre el 6% y 7%", explica Joan Manuel Carreras, presidente de la Federación Catalana.
Postion	Tokenization
1	"
2	Los
3	triunfos
4	de
5	la
6	selección
7	han
8	sido
9	importantes
10	,
11	pero
12	no
13	ha
14	existido
15	un
16	boom
17	,
18	sino
19	un
20	crecimiento
21	constante
22	que
23	se
24	mantiene
25	cada
26	año
27	entre
28	el
29	6%
30	y
31	7%
32	"
33	,
34	explica
35	Joan
36	Manuel
37	Carreras
38	,
39	presidente
40	de
41	la
42	Federación
43	Catalana
44	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Los	DET	3	det
3	triunfos	NOUN	9	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	selección	NOUN	3	nmod
7	han	AUX	9	aux
8	sido	AUX	9	cop
9	importantes	ADJ	34	ccomp
10	,	PUNCT	14	punct
11	pero	CCONJ	14	cc
12	no	ADV	14	advmod
13	ha	AUX	14	aux
14	existido	VERB	9	conj
15	un	DET	16	det
16	boom	NOUN	14	nsubj
17	,	PUNCT	20	punct
18	sino	CCONJ	20	cc
19	un	DET	20	det
20	crecimiento	NOUN	14	conj
21	constante	ADJ	20	amod
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pass
24	mantiene	VERB	20	acl
25	cada	DET	26	det
26	año	NOUN	24	obl
27	entre	ADP	29	case
28	el	DET	29	det
29	6%	SYM	24	obl
30	y	CCONJ	31	cc
31	7%	SYM	29	conj
32	"	PUNCT	9	punct
33	,	PUNCT	9	punct
34	explica	VERB	0	root
35	Joan	PROPN	34	nsubj
36	Manuel	PROPN	35	flat
37	Carreras	PROPN	35	flat
38	,	PUNCT	39	punct
39	presidente	NOUN	35	appos
40	de	ADP	42	case
41	la	DET	42	det
42	Federación	PROPN	39	nmod
43	Catalana	PROPN	42	flat
44	.	PUNCT	34	punct