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:
Im around 5'2 - 5'4 , 11 years old and im wondering what size horse i'll need that i wont grow out of quickly?
Postion	Tokenization
1	Im
2	I
3	m
4	around
5	5
6	'
7	2
8	-
9	5
10	'
11	4
12	,
13	11
14	years
15	old
16	and
17	im
18	i
19	m
20	wondering
21	what
22	size
23	horse
24	i'll
25	i
26	'll
27	need
28	that
29	i
30	wont
31	wo
32	nt
33	grow
34	out
35	of
36	quickly
37	?
Position	Tokenization	UPOS	Head	Deprel
1	Im	_	None	_
2	I	PRON	4	nsubj
3	m	AUX	4	cop
4	around	ADV	4	advmod
5	5	NUM	0	root
6	'	NOUN	4	punct
7	2	NUM	4	compound
8	-	SYM	8	case
9	5	NUM	4	nmod
10	'	NOUN	8	punct
11	4	NUM	8	compound
12	,	PUNCT	14	punct
13	11	NUM	13	nummod
14	years	NOUN	14	obl:npmod
15	old	ADJ	9	parataxis
16	and	CCONJ	18	cc
17	im	_	None	_
18	i	PRON	18	nsubj
19	m	AUX	18	aux
20	wondering	VERB	9	conj
21	what	DET	20	det
22	size	NOUN	21	compound
23	horse	NOUN	24	obj
24	i'll	_	None	_
25	i	PRON	24	nsubj
26	'll	AUX	24	aux
27	need	VERB	18	obj
28	that	PRON	29	obj
29	i	PRON	29	nsubj
30	wont	_	None	_
31	wo	AUX	29	aux
32	nt	PART	29	advmod
33	grow	VERB	20	acl:relcl
34	out	ADP	31	case
35	of	ADP	29	obl
36	quickly	ADV	29	advmod
37	?	PUNCT	4	punct