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 presidente de la federación colombiana, Alvaro Fina, se declaró "contento y feliz" porque Colombia "no va a perder finalmente un acontecimiento por el que tanto ha luchado".
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	federación
6	colombiana
7	,
8	Alvaro
9	Fina
10	,
11	se
12	declaró
13	"
14	contento
15	y
16	feliz
17	"
18	porque
19	Colombia
20	"
21	no
22	va
23	a
24	perder
25	finalmente
26	un
27	acontecimiento
28	por
29	el
30	que
31	tanto
32	ha
33	luchado
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	12	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	federación	NOUN	2	nmod
6	colombiana	ADJ	5	amod
7	,	PUNCT	8	punct
8	Alvaro	PROPN	2	appos
9	Fina	PROPN	8	flat
10	,	PUNCT	8	punct
11	se	PRON	12	iobj
12	declaró	VERB	0	root
13	"	PUNCT	14	punct
14	contento	ADJ	12	obj
15	y	CCONJ	16	cc
16	feliz	ADJ	14	conj
17	"	PUNCT	14	punct
18	porque	SCONJ	24	mark
19	Colombia	PROPN	24	nsubj
20	"	PUNCT	24	punct
21	no	ADV	24	advmod
22	va	AUX	24	aux
23	a	ADP	24	mark
24	perder	VERB	12	advcl
25	finalmente	ADV	24	advmod
26	un	DET	27	det
27	acontecimiento	NOUN	24	obj
28	por	ADP	30	case
29	el	DET	30	det
30	que	PRON	33	obj
31	tanto	ADV	33	advmod
32	ha	AUX	33	aux
33	luchado	VERB	27	acl
34	"	PUNCT	24	punct
35	.	PUNCT	12	punct