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:
He eats all of his grain but it just takes him a while to get it chewed because of the lack of muscle in his jaws.
Postion	Tokenization
1	He
2	eats
3	all
4	of
5	his
6	grain
7	but
8	it
9	just
10	takes
11	him
12	a
13	while
14	to
15	get
16	it
17	chewed
18	because
19	of
20	the
21	lack
22	of
23	muscle
24	in
25	his
26	jaws
27	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	eats	VERB	0	root
3	all	DET	2	obj
4	of	ADP	6	case
5	his	PRON	6	nmod:poss
6	grain	NOUN	3	nmod
7	but	CCONJ	10	cc
8	it	PRON	10	nsubj
9	just	ADV	10	advmod
10	takes	VERB	2	conj
11	him	PRON	10	obj
12	a	DET	13	det
13	while	NOUN	10	obl:tmod
14	to	PART	15	mark
15	get	VERB	13	acl
16	it	PRON	15	obj
17	chewed	VERB	15	xcomp
18	because	ADP	21	case
19	of	ADP	18	fixed
20	the	DET	21	det
21	lack	NOUN	10	obl
22	of	ADP	23	case
23	muscle	NOUN	21	nmod
24	in	ADP	26	case
25	his	PRON	26	nmod:poss
26	jaws	NOUN	23	nmod
27	.	PUNCT	2	punct