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:
You just want to be sure you can groom and saddle sufficiently and the horse itself is calm enough so that whatever size it is, you can handle it.
Postion	Tokenization
1	You
2	just
3	want
4	to
5	be
6	sure
7	you
8	can
9	groom
10	and
11	saddle
12	sufficiently
13	and
14	the
15	horse
16	itself
17	is
18	calm
19	enough
20	so
21	that
22	whatever
23	size
24	it
25	is
26	,
27	you
28	can
29	handle
30	it
31	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	just	ADV	3	advmod
3	want	VERB	0	root
4	to	PART	6	mark
5	be	AUX	6	cop
6	sure	ADJ	3	xcomp
7	you	PRON	9	nsubj
8	can	AUX	9	aux
9	groom	VERB	6	ccomp
10	and	CCONJ	11	cc
11	saddle	VERB	9	conj
12	sufficiently	ADV	9	advmod
13	and	CCONJ	18	cc
14	the	DET	15	det
15	horse	NOUN	18	nsubj
16	itself	PRON	15	nmod:npmod
17	is	AUX	18	cop
18	calm	ADJ	3	conj
19	enough	ADJ	18	advmod
20	so	SCONJ	29	mark
21	that	SCONJ	20	fixed
22	whatever	DET	23	det
23	size	NOUN	29	advcl
24	it	PRON	23	nsubj
25	is	AUX	23	cop
26	,	PUNCT	29	punct
27	you	PRON	29	nsubj
28	can	AUX	29	aux
29	handle	VERB	18	advcl
30	it	PRON	29	obj
31	.	PUNCT	3	punct