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:
If you have a good repoire (which I'm sure you do) with them, they should be honest on if this horse is fixable to any degree... not really sure what you want to do with him...
Postion	Tokenization
1	If
2	you
3	have
4	a
5	good
6	repoire
7	(
8	which
9	I'm
10	I
11	'm
12	sure
13	you
14	do
15	)
16	with
17	them
18	,
19	they
20	should
21	be
22	honest
23	on
24	if
25	this
26	horse
27	is
28	fixable
29	to
30	any
31	degree
32	...
33	not
34	really
35	sure
36	what
37	you
38	want
39	to
40	do
41	with
42	him
43	...
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	have	VERB	21	advcl
4	a	DET	6	det
5	good	ADJ	6	amod
6	repoire	NOUN	3	obj
7	(	PUNCT	6	punct
8	which	PRON	11	obj
9	I'm	_	None	_
10	I	PRON	11	nsubj
11	'm	AUX	11	cop
12	sure	ADJ	6	acl:relcl
13	you	PRON	13	nsubj
14	do	VERB	11	ccomp
15	)	PUNCT	6	punct
16	with	ADP	16	case
17	them	PRON	11	obl
18	,	PUNCT	21	punct
19	they	PRON	21	nsubj
20	should	AUX	21	aux
21	be	AUX	21	cop
22	honest	ADJ	0	root
23	on	SCONJ	27	mark
24	if	SCONJ	27	mark
25	this	DET	25	det
26	horse	NOUN	27	nsubj
27	is	AUX	27	cop
28	fixable	ADJ	21	advcl
29	to	ADP	30	case
30	any	DET	30	det
31	degree	NOUN	27	obl
32	...	PUNCT	21	punct
33	not	PART	34	advmod
34	really	ADV	34	advmod
35	sure	ADJ	21	parataxis
36	what	PRON	37	obj
37	you	PRON	37	nsubj
38	want	VERB	34	ccomp
39	to	PART	39	mark
40	do	VERB	37	xcomp
41	with	ADP	41	case
42	him	PRON	39	obl
43	...	PUNCT	21	punct