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:
En la primera etapa, el DANE diagnosticará el modelo estadístico a usar y en la segunda precisará la viabilidad institucional, el ámbito de aplicación y las recomendaciones financieras, técnicas y de tiempo para su implementación.
Postion	Tokenization
1	En
2	la
3	primera
4	etapa
5	,
6	el
7	DANE
8	diagnosticará
9	el
10	modelo
11	estadístico
12	a
13	usar
14	y
15	en
16	la
17	segunda
18	precisará
19	la
20	viabilidad
21	institucional
22	,
23	el
24	ámbito
25	de
26	aplicación
27	y
28	las
29	recomendaciones
30	financieras
31	,
32	técnicas
33	y
34	de
35	tiempo
36	para
37	su
38	implementación
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	primera	ADJ	4	amod
4	etapa	NOUN	8	obl
5	,	PUNCT	4	punct
6	el	DET	7	det
7	DANE	PROPN	8	nsubj
8	diagnosticará	VERB	0	root
9	el	DET	10	det
10	modelo	NOUN	8	obj
11	estadístico	ADJ	10	amod
12	a	ADP	13	mark
13	usar	VERB	10	acl
14	y	CCONJ	18	cc
15	en	ADP	17	case
16	la	DET	17	det
17	segunda	ADJ	18	obl
18	precisará	VERB	8	conj
19	la	DET	20	det
20	viabilidad	NOUN	18	obj
21	institucional	ADJ	20	amod
22	,	PUNCT	24	punct
23	el	DET	24	det
24	ámbito	NOUN	20	appos
25	de	ADP	26	case
26	aplicación	NOUN	24	nmod
27	y	CCONJ	29	cc
28	las	DET	29	det
29	recomendaciones	NOUN	20	conj
30	financieras	ADJ	29	amod
31	,	PUNCT	32	punct
32	técnicas	ADJ	30	conj
33	y	CCONJ	35	cc
34	de	ADP	35	case
35	tiempo	NOUN	30	conj
36	para	ADP	38	case
37	su	DET	38	det
38	implementación	NOUN	18	obl
39	.	PUNCT	8	punct