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 wouldn't bother with yoga i'd practice more with riding and fixing my problem, ride bareback, with no irons, theres also a way to ride on your knees?
Postion	Tokenization
1	i
2	wouldn't
3	would
4	n't
5	bother
6	with
7	yoga
8	i'd
9	i
10	'd
11	practice
12	more
13	with
14	riding
15	and
16	fixing
17	my
18	problem
19	,
20	ride
21	bareback
22	,
23	with
24	no
25	irons
26	,
27	theres
28	there
29	s
30	also
31	a
32	way
33	to
34	ride
35	on
36	your
37	knees
38	?
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	4	nsubj
2	wouldn't	_	None	_
3	would	AUX	4	aux
4	n't	PART	4	advmod
5	bother	VERB	0	root
6	with	ADP	6	case
7	yoga	NOUN	4	obl
8	i'd	_	None	_
9	i	PRON	9	nsubj
10	'd	AUX	9	aux
11	practice	VERB	4	parataxis
12	more	ADV	9	advmod
13	with	ADP	12	case
14	riding	NOUN	9	obl
15	and	CCONJ	14	cc
16	fixing	VERB	12	conj
17	my	PRON	16	nmod:poss
18	problem	NOUN	14	obj
19	,	PUNCT	4	punct
20	ride	VERB	4	parataxis
21	bareback	ADV	18	advmod
22	,	PUNCT	18	punct
23	with	ADP	23	case
24	no	DET	23	det
25	irons	NOUN	18	obl
26	,	PUNCT	18	punct
27	theres	_	None	_
28	there	PRON	26	expl
29	s	VERB	18	parataxis
30	also	ADV	26	advmod
31	a	DET	29	det
32	way	NOUN	26	nsubj
33	to	PART	31	mark
34	ride	VERB	29	acl
35	on	ADP	34	case
36	your	PRON	34	nmod:poss
37	knees	NOUN	31	obl
38	?	PUNCT	4	punct