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 will be getting with my vet first and if I do get him, have the spinal fluid test done for EPM and a titer test.
Postion	Tokenization
1	I
2	will
3	be
4	getting
5	with
6	my
7	vet
8	first
9	and
10	if
11	I
12	do
13	get
14	him
15	,
16	have
17	the
18	spinal
19	fluid
20	test
21	done
22	for
23	EPM
24	and
25	a
26	titer
27	test
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	will	AUX	4	aux
3	be	AUX	4	aux
4	getting	VERB	0	root
5	with	ADP	7	case
6	my	PRON	7	nmod:poss
7	vet	NOUN	4	obl
8	first	ADV	4	advmod
9	and	CCONJ	16	cc
10	if	SCONJ	13	mark
11	I	PRON	13	nsubj
12	do	AUX	13	aux
13	get	VERB	16	advcl
14	him	PRON	13	obj
15	,	PUNCT	4	punct
16	have	VERB	4	conj
17	the	DET	20	det
18	spinal	ADJ	19	amod
19	fluid	NOUN	20	compound
20	test	NOUN	16	obj
21	done	VERB	16	xcomp
22	for	ADP	23	case
23	EPM	NOUN	21	obl
24	and	CCONJ	27	cc
25	a	DET	27	det
26	titer	NOUN	27	compound
27	test	NOUN	16	conj
28	.	PUNCT	4	punct