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 can eat grain and I already have a feed regimen in my head for the guy since he can't eat regular hay.
Postion	Tokenization
1	He
2	can
3	eat
4	grain
5	and
6	I
7	already
8	have
9	a
10	feed
11	regimen
12	in
13	my
14	head
15	for
16	the
17	guy
18	since
19	he
20	can't
21	ca
22	n't
23	eat
24	regular
25	hay
26	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	can	AUX	3	aux
3	eat	VERB	0	root
4	grain	NOUN	3	obj
5	and	CCONJ	8	cc
6	I	PRON	8	nsubj
7	already	ADV	8	advmod
8	have	VERB	3	conj
9	a	DET	11	det
10	feed	NOUN	11	compound
11	regimen	NOUN	8	obj
12	in	ADP	14	case
13	my	PRON	14	nmod:poss
14	head	NOUN	8	obl
15	for	ADP	17	case
16	the	DET	17	det
17	guy	NOUN	8	obl
18	since	SCONJ	22	mark
19	he	PRON	22	nsubj
20	can't	_	None	_
21	ca	AUX	22	aux
22	n't	PART	22	advmod
23	eat	VERB	8	advcl
24	regular	ADJ	24	amod
25	hay	NOUN	22	obj
26	.	PUNCT	3	punct