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:
La CTU también ha abierto una colecta de fondos para apoyar el congreso gremial de Fiyi organizado por la Unión de Sindicatos de Fiyi (FTU, siglas en inglés).
Postion	Tokenization
1	La
2	CTU
3	también
4	ha
5	abierto
6	una
7	colecta
8	de
9	fondos
10	para
11	apoyar
12	el
13	congreso
14	gremial
15	de
16	Fiyi
17	organizado
18	por
19	la
20	Unión
21	de
22	Sindicatos
23	de
24	Fiyi
25	(
26	FTU
27	,
28	siglas
29	en
30	inglés
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	CTU	PROPN	5	nsubj
3	también	ADV	5	advmod
4	ha	AUX	5	aux
5	abierto	VERB	0	root
6	una	DET	7	det
7	colecta	NOUN	5	obj
8	de	ADP	9	case
9	fondos	NOUN	7	nmod
10	para	ADP	11	mark
11	apoyar	VERB	5	advcl
12	el	DET	13	det
13	congreso	NOUN	11	obj
14	gremial	ADJ	13	amod
15	de	ADP	16	case
16	Fiyi	PROPN	13	nmod
17	organizado	ADJ	13	amod
18	por	ADP	20	case
19	la	DET	20	det
20	Unión	PROPN	17	obj
21	de	ADP	22	case
22	Sindicatos	PROPN	20	flat
23	de	ADP	24	case
24	Fiyi	PROPN	20	flat
25	(	PUNCT	26	punct
26	FTU	PROPN	20	flat
27	,	PUNCT	28	punct
28	siglas	NOUN	26	appos
29	en	ADP	30	case
30	inglés	NOUN	28	nmod
31	)	PUNCT	26	punct
32	.	PUNCT	5	punct