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 Asociación Nacional de Instituciones Financieras (ANIF) afirmó hoy que "la solución adecuada" para los problemas fiscales de Colombia está en mayores recortes en los gastos y no en el aumento de los tributos.
Postion	Tokenization
1	La
2	Asociación
3	Nacional
4	de
5	Instituciones
6	Financieras
7	(
8	ANIF
9	)
10	afirmó
11	hoy
12	que
13	"
14	la
15	solución
16	adecuada
17	"
18	para
19	los
20	problemas
21	fiscales
22	de
23	Colombia
24	está
25	en
26	mayores
27	recortes
28	en
29	los
30	gastos
31	y
32	no
33	en
34	el
35	aumento
36	de
37	los
38	tributos
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Asociación	PROPN	10	nsubj
3	Nacional	PROPN	2	flat
4	de	ADP	5	case
5	Instituciones	PROPN	2	flat
6	Financieras	PROPN	2	flat
7	(	PUNCT	8	punct
8	ANIF	PROPN	2	flat
9	)	PUNCT	8	punct
10	afirmó	VERB	0	root
11	hoy	ADV	10	advmod
12	que	SCONJ	27	mark
13	"	PUNCT	15	punct
14	la	DET	15	det
15	solución	NOUN	27	nsubj
16	adecuada	ADJ	15	amod
17	"	PUNCT	16	punct
18	para	ADP	20	case
19	los	DET	20	det
20	problemas	NOUN	16	obl
21	fiscales	ADJ	20	amod
22	de	ADP	23	case
23	Colombia	PROPN	20	nmod
24	está	AUX	27	cop
25	en	ADP	27	case
26	mayores	ADJ	27	amod
27	recortes	NOUN	10	ccomp
28	en	ADP	30	case
29	los	DET	30	det
30	gastos	NOUN	27	nmod
31	y	CCONJ	35	cc
32	no	ADV	35	advmod
33	en	ADP	35	case
34	el	DET	35	det
35	aumento	NOUN	27	conj
36	de	ADP	38	case
37	los	DET	38	det
38	tributos	NOUN	35	nmod
39	.	PUNCT	10	punct