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 a riding lesson today on one of my boss's fino horses and it made me realize just how unsteady my left leg is.
Postion	Tokenization
1	I
2	got
3	a
4	riding
5	lesson
6	today
7	on
8	one
9	of
10	my
11	boss's
12	boss
13	's
14	fino
15	horses
16	and
17	it
18	made
19	me
20	realize
21	just
22	how
23	unsteady
24	my
25	left
26	leg
27	is
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	got	VERB	0	root
3	a	DET	5	det
4	riding	NOUN	5	compound
5	lesson	NOUN	2	obj
6	today	NOUN	2	obl:tmod
7	on	ADP	8	case
8	one	NUM	2	obl
9	of	ADP	14	case
10	my	PRON	11	nmod:poss
11	boss's	_	None	_
12	boss	NOUN	14	nmod:poss
13	's	PART	11	case
14	fino	NOUN	14	compound
15	horses	NOUN	8	nmod
16	and	CCONJ	17	cc
17	it	PRON	17	nsubj
18	made	VERB	2	conj
19	me	PRON	17	obj
20	realize	VERB	17	xcomp
21	just	ADV	22	advmod
22	how	SCONJ	22	mark
23	unsteady	ADJ	19	ccomp
24	my	PRON	25	nmod:poss
25	left	ADJ	25	amod
26	leg	NOUN	22	nsubj
27	is	AUX	22	cop
28	.	PUNCT	2	punct