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:
It doesn't matter how graceful your horse is, or how high he can jump, or how well he does a sliding stop.
Postion	Tokenization
1	It
2	doesn't
3	does
4	n't
5	matter
6	how
7	graceful
8	your
9	horse
10	is
11	,
12	or
13	how
14	high
15	he
16	can
17	jump
18	,
19	or
20	how
21	well
22	he
23	does
24	a
25	sliding
26	stop
27	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	4	expl
2	doesn't	_	None	_
3	does	AUX	4	aux
4	n't	PART	4	advmod
5	matter	VERB	0	root
6	how	SCONJ	6	mark
7	graceful	ADJ	4	csubj
8	your	PRON	8	nmod:poss
9	horse	NOUN	6	nsubj
10	is	AUX	6	cop
11	,	PUNCT	16	punct
12	or	CCONJ	16	cc
13	how	SCONJ	13	mark
14	high	ADV	16	advmod
15	he	PRON	16	nsubj
16	can	AUX	16	aux
17	jump	VERB	6	conj
18	,	PUNCT	22	punct
19	or	CCONJ	22	cc
20	how	SCONJ	20	mark
21	well	ADV	22	advmod
22	he	PRON	22	nsubj
23	does	VERB	6	conj
24	a	DET	25	det
25	sliding	VERB	25	amod
26	stop	NOUN	22	obj
27	.	PUNCT	4	punct