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:
Leaving a jar with a dozen black worms in it will sate the adult's desire for snacks and they are more likely to leave fry or eggs alone.
Postion	Tokenization
1	Leaving
2	a
3	jar
4	with
5	a
6	dozen
7	black
8	worms
9	in
10	it
11	will
12	sate
13	the
14	adult's
15	adult
16	's
17	desire
18	for
19	snacks
20	and
21	they
22	are
23	more
24	likely
25	to
26	leave
27	fry
28	or
29	eggs
30	alone
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Leaving	VERB	12	csubj
2	a	DET	3	det
3	jar	NOUN	1	obj
4	with	ADP	8	case
5	a	DET	8	det
6	dozen	NOUN	8	compound
7	black	ADJ	8	amod
8	worms	NOUN	3	nmod
9	in	ADP	10	case
10	it	PRON	8	nmod
11	will	AUX	12	aux
12	sate	VERB	0	root
13	the	DET	14	det
14	adult's	_	None	_
15	adult	NOUN	16	nmod:poss
16	's	PART	14	case
17	desire	NOUN	12	obj
18	for	ADP	18	case
19	snacks	NOUN	16	nmod
20	and	CCONJ	23	cc
21	they	PRON	23	nsubj
22	are	AUX	23	cop
23	more	ADV	23	advmod
24	likely	ADJ	12	conj
25	to	PART	25	mark
26	leave	VERB	23	xcomp
27	fry	NOUN	25	obj
28	or	CCONJ	28	cc
29	eggs	NOUN	26	conj
30	alone	ADJ	25	xcomp
31	.	PUNCT	12	punct