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:
The chiro/acupuncturist will be there to evaluate the horse for wobblers which is often caused by spinal compression and can be confused with EPM.
Postion	Tokenization
1	The
2	chiro
3	/
4	acupuncturist
5	will
6	be
7	there
8	to
9	evaluate
10	the
11	horse
12	for
13	wobblers
14	which
15	is
16	often
17	caused
18	by
19	spinal
20	compression
21	and
22	can
23	be
24	confused
25	with
26	EPM
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	chiro	NOUN	4	compound
3	/	PUNCT	4	punct
4	acupuncturist	NOUN	7	nsubj
5	will	AUX	7	aux
6	be	AUX	7	cop
7	there	ADV	0	root
8	to	PART	9	mark
9	evaluate	VERB	7	advcl
10	the	DET	11	det
11	horse	NOUN	9	obj
12	for	ADP	13	case
13	wobblers	NOUN	9	obl
14	which	PRON	17	nsubj:pass
15	is	AUX	17	aux:pass
16	often	ADV	17	advmod
17	caused	VERB	13	acl:relcl
18	by	ADP	20	case
19	spinal	ADJ	20	amod
20	compression	NOUN	17	obl
21	and	CCONJ	24	cc
22	can	AUX	24	aux
23	be	AUX	24	aux:pass
24	confused	VERB	17	conj
25	with	ADP	26	case
26	EPM	NOUN	24	obl
27	.	PUNCT	7	punct