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:
When I was Younger In my early 20s My farrier was A hottie named Joby..( for those who don't Know I AM A GIRL read my Bio on my Page) dumb as a post about everything But horses..
Postion	Tokenization
1	When
2	I
3	was
4	Younger
5	In
6	my
7	early
8	20s
9	My
10	farrier
11	was
12	A
13	hottie
14	named
15	Joby
16	..
17	(
18	for
19	those
20	who
21	don't
22	do
23	n't
24	Know
25	I
26	AM
27	A
28	GIRL
29	read
30	my
31	Bio
32	on
33	my
34	Page
35	)
36	dumb
37	as
38	a
39	post
40	about
41	everything
42	But
43	horses
44	..
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	I	PRON	4	nsubj
3	was	AUX	4	cop
4	Younger	ADJ	13	advcl
5	In	ADP	8	case
6	my	PRON	8	nmod:poss
7	early	ADJ	8	amod
8	20s	NOUN	13	obl
9	My	PRON	10	nmod:poss
10	farrier	NOUN	13	nsubj
11	was	AUX	13	cop
12	A	DET	13	det
13	hottie	NOUN	0	root
14	named	VERB	13	acl
15	Joby	PROPN	14	xcomp
16	..	PUNCT	13	punct
17	(	PUNCT	27	punct
18	for	ADP	19	case
19	those	PRON	27	obl
20	who	PRON	23	nsubj
21	don't	_	None	_
22	do	AUX	23	aux
23	n't	PART	23	advmod
24	Know	VERB	19	acl:relcl
25	I	PRON	27	nsubj
26	AM	AUX	27	cop
27	A	DET	27	det
28	GIRL	NOUN	13	parataxis
29	read	VERB	27	parataxis
30	my	PRON	30	nmod:poss
31	Bio	NOUN	28	obj
32	on	ADP	33	case
33	my	PRON	33	nmod:poss
34	Page	NOUN	30	nmod
35	)	PUNCT	27	punct
36	dumb	ADJ	13	amod
37	as	ADP	38	case
38	a	DET	38	det
39	post	NOUN	35	obl
40	about	ADP	40	case
41	everything	PRON	35	obl
42	But	ADP	42	case
43	horses	NOUN	40	nmod
44	..	PUNCT	13	punct