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 would say it really depends on your riding ability, what disciplines you are interested in doing, or plan on doing, etc.
Postion	Tokenization
1	I
2	would
3	say
4	it
5	really
6	depends
7	on
8	your
9	riding
10	ability
11	,
12	what
13	disciplines
14	you
15	are
16	interested
17	in
18	doing
19	,
20	or
21	plan
22	on
23	doing
24	,
25	etc
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	would	AUX	3	aux
3	say	VERB	0	root
4	it	PRON	6	nsubj
5	really	ADV	6	advmod
6	depends	VERB	3	ccomp
7	on	ADP	10	case
8	your	PRON	10	nmod:poss
9	riding	NOUN	10	compound
10	ability	NOUN	6	obl
11	,	PUNCT	13	punct
12	what	DET	13	det
13	disciplines	NOUN	10	conj
14	you	PRON	16	nsubj
15	are	AUX	16	cop
16	interested	ADJ	13	acl:relcl
17	in	SCONJ	18	mark
18	doing	VERB	16	advcl
19	,	PUNCT	21	punct
20	or	CCONJ	21	cc
21	plan	VERB	16	conj
22	on	SCONJ	23	mark
23	doing	VERB	21	advcl
24	,	PUNCT	25	punct
25	etc	X	10	conj
26	.	PUNCT	3	punct