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:
Crickets, silk worms, phoenix worms, and various feeder roaches, like red-lobster, turkistan, and dubia, are good example of staple insects to offer your bearded.
Postion	Tokenization
1	Crickets
2	,
3	silk
4	worms
5	,
6	phoenix
7	worms
8	,
9	and
10	various
11	feeder
12	roaches
13	,
14	like
15	red
16	-
17	lobster
18	,
19	turkistan
20	,
21	and
22	dubia
23	,
24	are
25	good
26	example
27	of
28	staple
29	insects
30	to
31	offer
32	your
33	bearded
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Crickets	NOUN	26	nsubj
2	,	PUNCT	4	punct
3	silk	NOUN	4	compound
4	worms	NOUN	1	conj
5	,	PUNCT	7	punct
6	phoenix	ADJ	7	amod
7	worms	NOUN	1	conj
8	,	PUNCT	12	punct
9	and	CCONJ	12	cc
10	various	ADJ	12	amod
11	feeder	NOUN	12	compound
12	roaches	NOUN	1	conj
13	,	PUNCT	12	punct
14	like	ADP	17	case
15	red	VERB	17	amod
16	-	PUNCT	17	punct
17	lobster	NOUN	12	nmod
18	,	PUNCT	19	punct
19	turkistan	NOUN	17	conj
20	,	PUNCT	22	punct
21	and	CCONJ	22	cc
22	dubia	NOUN	17	conj
23	,	PUNCT	26	punct
24	are	AUX	26	cop
25	good	ADJ	26	amod
26	example	NOUN	0	root
27	of	ADP	29	case
28	staple	NOUN	29	compound
29	insects	NOUN	26	nmod
30	to	PART	31	mark
31	offer	VERB	29	acl
32	your	PRON	33	nmod:poss
33	bearded	VERB	31	obj
34	.	PUNCT	26	punct