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 Ministerio del Medio Ambiente y el Departamento Nacional de Estadísticas (DANE) colombianos llevarán a cabo estudios para adoptar un plan estadístico ambiental, se anunció hoy oficialmente.
Postion	Tokenization
1	El
2	Ministerio
3	del
4	Medio
5	Ambiente
6	y
7	el
8	Departamento
9	Nacional
10	de
11	Estadísticas
12	(
13	DANE
14	)
15	colombianos
16	llevarán
17	a
18	cabo
19	estudios
20	para
21	adoptar
22	un
23	plan
24	estadístico
25	ambiental
26	,
27	se
28	anunció
29	hoy
30	oficialmente
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ministerio	PROPN	16	nsubj
3	del	ADP	4	case
4	Medio	PROPN	2	flat
5	Ambiente	PROPN	4	flat
6	y	CCONJ	8	cc
7	el	DET	8	det
8	Departamento	PROPN	2	conj
9	Nacional	PROPN	8	flat
10	de	ADP	11	case
11	Estadísticas	PROPN	8	flat
12	(	PUNCT	13	punct
13	DANE	PROPN	8	flat
14	)	PUNCT	13	punct
15	colombianos	ADJ	2	amod
16	llevarán	VERB	28	csubj
17	a	ADP	18	case
18	cabo	NOUN	16	compound
19	estudios	NOUN	16	obj
20	para	ADP	21	mark
21	adoptar	VERB	19	acl
22	un	DET	23	det
23	plan	NOUN	21	obj
24	estadístico	ADJ	23	amod
25	ambiental	ADJ	23	amod
26	,	PUNCT	16	punct
27	se	PRON	28	expl:pass
28	anunció	VERB	0	root
29	hoy	ADV	28	advmod
30	oficialmente	ADV	28	advmod
31	.	PUNCT	28	punct