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:
Ok, well as far as him being a bad farrier for leaving a nail out - That is not the case, they are extremely well known farriers in the area.
Postion	Tokenization
1	Ok
2	,
3	well
4	as
5	far
6	as
7	him
8	being
9	a
10	bad
11	farrier
12	for
13	leaving
14	a
15	nail
16	out
17	-
18	That
19	is
20	not
21	the
22	case
23	,
24	they
25	are
26	extremely
27	well
28	known
29	farriers
30	in
31	the
32	area
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ok	INTJ	22	discourse
2	,	PUNCT	22	punct
3	well	INTJ	22	discourse
4	as	ADV	5	advmod
5	far	ADV	22	advmod
6	as	SCONJ	11	mark
7	him	PRON	11	nsubj
8	being	AUX	11	cop
9	a	DET	11	det
10	bad	ADJ	11	amod
11	farrier	NOUN	5	advcl
12	for	SCONJ	13	mark
13	leaving	VERB	11	advcl
14	a	DET	15	det
15	nail	NOUN	13	obj
16	out	ADV	13	advmod
17	-	PUNCT	22	punct
18	That	PRON	22	nsubj
19	is	AUX	22	cop
20	not	PART	22	advmod
21	the	DET	22	det
22	case	NOUN	0	root
23	,	PUNCT	22	punct
24	they	PRON	29	nsubj
25	are	AUX	29	cop
26	extremely	ADV	28	advmod
27	well	ADV	28	advmod
28	known	VERB	29	amod
29	farriers	NOUN	22	parataxis
30	in	ADP	32	case
31	the	DET	32	det
32	area	NOUN	29	obl
33	.	PUNCT	22	punct