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 idea - dice Merelo - es dar vida a un orbe con animales cazadores y presas para estudiar cómo comparten el hábitat, qué proporción tiene que haber de cada tipo y otros aspectos ecológicos...
Postion	Tokenization
1	La
2	idea
3	-
4	dice
5	Merelo
6	-
7	es
8	dar
9	vida
10	a
11	un
12	orbe
13	con
14	animales
15	cazadores
16	y
17	presas
18	para
19	estudiar
20	cómo
21	comparten
22	el
23	hábitat
24	,
25	qué
26	proporción
27	tiene
28	que
29	haber
30	de
31	cada
32	tipo
33	y
34	otros
35	aspectos
36	ecológicos
37	...
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	idea	NOUN	7	nsubj
3	-	PUNCT	4	punct
4	dice	VERB	7	parataxis
5	Merelo	PROPN	4	nsubj
6	-	PUNCT	4	punct
7	es	AUX	0	root
8	dar	VERB	7	ccomp
9	vida	NOUN	8	obj
10	a	ADP	12	case
11	un	DET	12	det
12	orbe	NOUN	8	obj
13	con	ADP	14	case
14	animales	NOUN	12	nmod
15	cazadores	ADJ	14	amod
16	y	CCONJ	17	cc
17	presas	NOUN	14	conj
18	para	ADP	19	mark
19	estudiar	VERB	8	advcl
20	cómo	PRON	21	obl
21	comparten	VERB	19	ccomp
22	el	DET	23	det
23	hábitat	NOUN	21	obj
24	,	PUNCT	26	punct
25	qué	DET	26	det
26	proporción	NOUN	29	obj
27	tiene	VERB	21	advcl
28	que	SCONJ	29	cc
29	haber	AUX	27	conj
30	de	ADP	32	case
31	cada	DET	32	det
32	tipo	NOUN	29	obl
33	y	CCONJ	35	cc
34	otros	DET	35	det
35	aspectos	NOUN	21	conj
36	ecológicos	ADJ	35	amod
37	...	PUNCT	7	punct