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:
Well one day he said to me You know i don't wear Underwear as he was bent over Working on my Mares Right front hoof.. and I was Like Ummmm okay???
Postion	Tokenization
1	Well
2	one
3	day
4	he
5	said
6	to
7	me
8	You
9	know
10	i
11	don't
12	do
13	n't
14	wear
15	Underwear
16	as
17	he
18	was
19	bent
20	over
21	Working
22	on
23	my
24	Mares
25	Mare
26	s
27	Right
28	front
29	hoof
30	..
31	and
32	I
33	was
34	Like
35	Ummmm
36	okay
37	???
Position	Tokenization	UPOS	Head	Deprel
1	Well	INTJ	5	discourse
2	one	NUM	3	nummod
3	day	NOUN	5	obl:tmod
4	he	PRON	5	nsubj
5	said	VERB	0	root
6	to	ADP	7	case
7	me	PRON	5	obl
8	You	PRON	9	nsubj
9	know	VERB	5	ccomp
10	i	PRON	13	nsubj
11	don't	_	None	_
12	do	AUX	13	aux
13	n't	PART	13	advmod
14	wear	VERB	9	parataxis
15	Underwear	NOUN	13	obj
16	as	SCONJ	18	mark
17	he	PRON	18	nsubj:pass
18	was	AUX	18	aux:pass
19	bent	VERB	5	advcl
20	over	ADV	18	advmod
21	Working	VERB	18	advcl
22	on	ADP	27	case
23	my	PRON	23	nmod:poss
24	Mares	_	None	_
25	Mare	NOUN	27	nmod:poss
26	s	PART	23	case
27	Right	ADJ	27	amod
28	front	ADJ	27	amod
29	hoof	NOUN	20	obl
30	..	PUNCT	5	punct
31	and	CCONJ	31	cc
32	I	PRON	31	nsubj
33	was	VERB	5	conj
34	Like	INTJ	31	discourse
35	Ummmm	INTJ	31	discourse
36	okay	INTJ	33	discourse
37	???	PUNCT	5	punct