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:
Separating a pair some time before a show (killies are usually shown & judged & often sold as pairs) will encourage them to court and show their best colors.
Postion	Tokenization
1	Separating
2	a
3	pair
4	some
5	time
6	before
7	a
8	show
9	(
10	killies
11	are
12	usually
13	shown
14	&
15	judged
16	&
17	often
18	sold
19	as
20	pairs
21	)
22	will
23	encourage
24	them
25	to
26	court
27	and
28	show
29	their
30	best
31	colors
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Separating	VERB	23	csubj
2	a	DET	3	det
3	pair	NOUN	1	obj
4	some	DET	5	det
5	time	NOUN	8	nmod:npmod
6	before	ADP	8	case
7	a	DET	8	det
8	show	NOUN	1	obl
9	(	PUNCT	13	punct
10	killies	NOUN	13	nsubj:pass
11	are	AUX	13	aux:pass
12	usually	ADV	13	advmod
13	shown	VERB	23	parataxis
14	&	CCONJ	15	cc
15	judged	VERB	13	conj
16	&	CCONJ	18	cc
17	often	ADV	18	advmod
18	sold	VERB	13	conj
19	as	ADP	20	case
20	pairs	NOUN	13	obl
21	)	PUNCT	13	punct
22	will	AUX	23	aux
23	encourage	VERB	0	root
24	them	PRON	23	obj
25	to	PART	26	mark
26	court	VERB	23	xcomp
27	and	CCONJ	28	cc
28	show	VERB	26	conj
29	their	PRON	31	nmod:poss
30	best	ADJ	31	amod
31	colors	NOUN	28	obj
32	.	PUNCT	23	punct