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:
I got my horse when I was 12 and I was already 5'9-5'10, thankfully I stopped growing when I hit 5'11" but my horse is about 16.2 or 16.3hh, TB.
Postion	Tokenization
1	I
2	got
3	my
4	horse
5	when
6	I
7	was
8	12
9	and
10	I
11	was
12	already
13	5
14	'
15	9
16	-
17	5
18	'
19	10
20	,
21	thankfully
22	I
23	stopped
24	growing
25	when
26	I
27	hit
28	5
29	'
30	11
31	"
32	but
33	my
34	horse
35	is
36	about
37	16.2
38	or
39	16.3
40	hh
41	,
42	TB
43	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	got	VERB	0	root
3	my	PRON	4	nmod:poss
4	horse	NOUN	2	obj
5	when	SCONJ	8	mark
6	I	PRON	8	nsubj
7	was	AUX	8	cop
8	12	NUM	2	advcl
9	and	CCONJ	13	cc
10	I	PRON	13	nsubj
11	was	AUX	13	cop
12	already	ADV	13	advmod
13	5	NUM	2	conj
14	'	NOUN	13	punct
15	9	NUM	13	compound
16	-	SYM	17	case
17	5	NUM	13	nmod
18	'	NOUN	17	punct
19	10	NUM	17	compound
20	,	PUNCT	2	punct
21	thankfully	ADV	23	advmod
22	I	PRON	23	nsubj
23	stopped	VERB	2	parataxis
24	growing	VERB	23	xcomp
25	when	SCONJ	27	mark
26	I	PRON	27	nsubj
27	hit	VERB	23	advcl
28	5	NUM	27	obj
29	'	NOUN	28	punct
30	11	NUM	28	compound
31	"	NOUN	28	punct
32	but	CCONJ	40	cc
33	my	PRON	34	nmod:poss
34	horse	NOUN	40	nsubj
35	is	AUX	40	cop
36	about	ADP	37	advmod
37	16.2	NUM	40	nummod
38	or	CCONJ	39	cc
39	16.3	NUM	37	conj
40	hh	NOUN	23	conj
41	,	PUNCT	40	punct
42	TB	PROPN	40	appos
43	.	PUNCT	2	punct