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:
We feed the chickens scraps of veggies and fruits throughout the day, but it's nothing that a rabbit wouldn't be able to digest just fine.
Postion	Tokenization
1	We
2	feed
3	the
4	chickens
5	scraps
6	of
7	veggies
8	and
9	fruits
10	throughout
11	the
12	day
13	,
14	but
15	it's
16	it
17	's
18	nothing
19	that
20	a
21	rabbit
22	wouldn't
23	would
24	n't
25	be
26	able
27	to
28	digest
29	just
30	fine
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	feed	VERB	0	root
3	the	DET	4	det
4	chickens	NOUN	2	iobj
5	scraps	NOUN	2	obj
6	of	ADP	7	case
7	veggies	NOUN	5	nmod
8	and	CCONJ	9	cc
9	fruits	NOUN	7	conj
10	throughout	ADP	12	case
11	the	DET	12	det
12	day	NOUN	2	obl
13	,	PUNCT	17	punct
14	but	CCONJ	17	cc
15	it's	_	None	_
16	it	PRON	17	nsubj
17	's	AUX	17	cop
18	nothing	PRON	2	conj
19	that	PRON	24	obj
20	a	DET	20	det
21	rabbit	NOUN	24	nsubj
22	wouldn't	_	None	_
23	would	AUX	24	aux
24	n't	PART	24	advmod
25	be	AUX	24	cop
26	able	ADJ	17	acl:relcl
27	to	PART	26	mark
28	digest	VERB	24	xcomp
29	just	ADV	28	advmod
30	fine	ADV	26	advmod
31	.	PUNCT	2	punct