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:
Lo que Isaac Asimov planteaba para un futuro lejano en su libro Foundations Edge - aquí un héroe espacial tripula su nave con el poder de la mente - Sutter lo ha trasladado al mundo real.
Postion	Tokenization
1	Lo
2	que
3	Isaac
4	Asimov
5	planteaba
6	para
7	un
8	futuro
9	lejano
10	en
11	su
12	libro
13	Foundations
14	Edge
15	-
16	aquí
17	un
18	héroe
19	espacial
20	tripula
21	su
22	nave
23	con
24	el
25	poder
26	de
27	la
28	mente
29	-
30	Sutter
31	lo
32	ha
33	trasladado
34	al
35	mundo
36	real
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	5	det
2	que	PRON	5	obj
3	Isaac	PROPN	5	obj
4	Asimov	PROPN	3	flat
5	planteaba	VERB	33	ccomp
6	para	ADP	8	case
7	un	DET	8	det
8	futuro	NOUN	5	obl
9	lejano	ADJ	8	amod
10	en	ADP	12	case
11	su	DET	12	det
12	libro	NOUN	5	obl
13	Foundations	PROPN	12	appos
14	Edge	PROPN	13	flat
15	-	PUNCT	20	punct
16	aquí	ADV	20	advmod
17	un	DET	18	det
18	héroe	NOUN	20	nsubj
19	espacial	ADJ	18	amod
20	tripula	VERB	12	acl
21	su	DET	22	det
22	nave	NOUN	20	obj
23	con	ADP	25	case
24	el	DET	25	det
25	poder	NOUN	20	obl
26	de	ADP	28	case
27	la	DET	28	det
28	mente	NOUN	25	nmod
29	-	PUNCT	20	punct
30	Sutter	PROPN	33	nsubj
31	lo	PRON	33	iobj
32	ha	AUX	33	aux
33	trasladado	VERB	0	root
34	al	ADP	35	case
35	mundo	NOUN	33	obl
36	real	ADJ	35	amod
37	.	PUNCT	33	punct