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:
I have no idea if that is related or farmers are doing a better job of clearing out opossums now because they know opossums are carriers, but we haven't had an EPM horse in at least 10 years.
Postion	Tokenization
1	I
2	have
3	no
4	idea
5	if
6	that
7	is
8	related
9	or
10	farmers
11	are
12	doing
13	a
14	better
15	job
16	of
17	clearing
18	out
19	opossums
20	now
21	because
22	they
23	know
24	opossums
25	are
26	carriers
27	,
28	but
29	we
30	haven't
31	have
32	n't
33	had
34	an
35	EPM
36	horse
37	in
38	at
39	least
40	10
41	years
42	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	no	DET	4	det
4	idea	NOUN	2	obj
5	if	SCONJ	8	mark
6	that	PRON	8	nsubj
7	is	AUX	8	cop
8	related	ADJ	2	advcl
9	or	CCONJ	12	cc
10	farmers	NOUN	12	nsubj
11	are	AUX	12	aux
12	doing	VERB	8	conj
13	a	DET	15	det
14	better	ADJ	15	amod
15	job	NOUN	12	obj
16	of	SCONJ	17	mark
17	clearing	VERB	15	acl
18	out	ADP	17	compound:prt
19	opossums	NOUN	17	obj
20	now	ADV	17	advmod
21	because	SCONJ	23	mark
22	they	PRON	23	nsubj
23	know	VERB	12	advcl
24	opossums	NOUN	26	nsubj
25	are	AUX	26	cop
26	carriers	NOUN	23	ccomp
27	,	PUNCT	32	punct
28	but	CCONJ	32	cc
29	we	PRON	32	nsubj
30	haven't	_	None	_
31	have	AUX	32	aux
32	n't	PART	32	advmod
33	had	VERB	2	conj
34	an	DET	35	det
35	EPM	NOUN	35	compound
36	horse	NOUN	32	obj
37	in	ADP	40	case
38	at	ADV	38	case
39	least	ADV	39	nmod
40	10	NUM	40	nummod
41	years	NOUN	32	obl
42	.	PUNCT	2	punct