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:
Our first diagnosed EPM horse was back when there was no treatment in the US and only an experimental chicken feed additive in Canada.
Postion	Tokenization
1	Our
2	first
3	diagnosed
4	EPM
5	horse
6	was
7	back
8	when
9	there
10	was
11	no
12	treatment
13	in
14	the
15	US
16	and
17	only
18	an
19	experimental
20	chicken
21	feed
22	additive
23	in
24	Canada
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Our	PRON	5	nmod:poss
2	first	ADJ	5	amod
3	diagnosed	VERB	5	amod
4	EPM	NOUN	5	compound
5	horse	NOUN	6	nsubj
6	was	VERB	0	root
7	back	ADV	8	advmod
8	when	SCONJ	10	mark
9	there	PRON	10	expl
10	was	VERB	6	advcl
11	no	DET	12	det
12	treatment	NOUN	10	nsubj
13	in	ADP	15	case
14	the	DET	15	det
15	US	PROPN	12	nmod
16	and	CCONJ	22	cc
17	only	ADV	22	advmod
18	an	DET	22	det
19	experimental	ADJ	22	amod
20	chicken	NOUN	21	compound
21	feed	NOUN	22	compound
22	additive	NOUN	12	conj
23	in	ADP	24	case
24	Canada	PROPN	22	nmod
25	.	PUNCT	6	punct