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:
If you can't even do basic math, you'll never figure out how to use a DSLR camera properly.
Postion	Tokenization
1	If
2	you
3	can't
4	ca
5	n't
6	even
7	do
8	basic
9	math
10	,
11	you'll
12	you
13	'll
14	never
15	figure
16	out
17	how
18	to
19	use
20	a
21	DSLR
22	camera
23	properly
24	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	6	mark
2	you	PRON	6	nsubj
3	can't	_	None	_
4	ca	AUX	6	aux
5	n't	PART	6	advmod
6	even	ADV	6	advmod
7	do	VERB	13	advcl
8	basic	ADJ	8	amod
9	math	NOUN	6	obj
10	,	PUNCT	13	punct
11	you'll	_	None	_
12	you	PRON	13	nsubj
13	'll	AUX	13	aux
14	never	ADV	13	advmod
15	figure	VERB	0	root
16	out	ADP	13	compound:prt
17	how	SCONJ	17	mark
18	to	PART	17	mark
19	use	VERB	13	ccomp
20	a	DET	20	det
21	DSLR	NOUN	20	compound
22	camera	NOUN	17	obj
23	properly	ADV	17	advmod
24	.	PUNCT	13	punct