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 6 weeks Later when he came back out He was again working on my mares front Foot and I looked Down and Yeah he had Wholes In his pants In the wrong places I bust out Laughing and He was like what???
Postion	Tokenization
1	Well
2	6
3	weeks
4	Later
5	when
6	he
7	came
8	back
9	out
10	He
11	was
12	again
13	working
14	on
15	my
16	mares
17	mare
18	s
19	front
20	Foot
21	and
22	I
23	looked
24	Down
25	and
26	Yeah
27	he
28	had
29	Wholes
30	In
31	his
32	pants
33	In
34	the
35	wrong
36	places
37	I
38	bust
39	out
40	Laughing
41	and
42	He
43	was
44	like
45	what
46	???
Position	Tokenization	UPOS	Head	Deprel
1	Well	INTJ	13	discourse
2	6	NUM	3	nummod
3	weeks	NOUN	4	obl:npmod
4	Later	ADV	13	advmod
5	when	SCONJ	7	mark
6	he	PRON	7	nsubj
7	came	VERB	13	advcl
8	back	ADV	9	advmod
9	out	ADV	7	advmod
10	He	PRON	13	nsubj
11	was	AUX	13	aux
12	again	ADV	13	advmod
13	working	VERB	0	root
14	on	ADP	19	case
15	my	PRON	16	nmod:poss
16	mares	_	None	_
17	mare	NOUN	19	nmod:poss
18	s	PART	16	case
19	front	ADJ	19	amod
20	Foot	PROPN	13	obl
21	and	CCONJ	22	cc
22	I	PRON	22	nsubj
23	looked	VERB	13	conj
24	Down	ADV	22	advmod
25	and	CCONJ	27	cc
26	Yeah	INTJ	27	discourse
27	he	PRON	27	nsubj
28	had	VERB	13	conj
29	Wholes	NOUN	27	obj
30	In	ADP	31	case
31	his	PRON	31	nmod:poss
32	pants	NOUN	28	nmod
33	In	ADP	35	case
34	the	DET	35	det
35	wrong	ADJ	35	amod
36	places	NOUN	28	nmod
37	I	PRON	37	nsubj
38	bust	VERB	13	parataxis
39	out	ADP	37	compound:prt
40	Laughing	VERB	37	xcomp
41	and	CCONJ	44	cc
42	He	PRON	44	nsubj
43	was	AUX	44	cop
44	like	INTJ	44	discourse
45	what	PRON	13	conj
46	???	PUNCT	13	punct