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:
He doesn't just take pictures he makes art out of them and you won't even notice that there's a camera there.
Postion	Tokenization
1	He
2	doesn't
3	does
4	n't
5	just
6	take
7	pictures
8	he
9	makes
10	art
11	out
12	of
13	them
14	and
15	you
16	won't
17	wo
18	n't
19	even
20	notice
21	that
22	there's
23	there
24	's
25	a
26	camera
27	there
28	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	5	nsubj
2	doesn't	_	None	_
3	does	AUX	5	aux
4	n't	PART	5	advmod
5	just	ADV	5	advmod
6	take	VERB	0	root
7	pictures	NOUN	5	obj
8	he	PRON	8	nsubj
9	makes	VERB	5	parataxis
10	art	NOUN	8	obj
11	out	ADP	12	case
12	of	ADP	12	case
13	them	PRON	8	obl
14	and	CCONJ	18	cc
15	you	PRON	18	nsubj
16	won't	_	None	_
17	wo	AUX	18	aux
18	n't	PART	18	advmod
19	even	ADV	18	advmod
20	notice	VERB	5	conj
21	that	SCONJ	21	mark
22	there's	_	None	_
23	there	PRON	21	expl
24	's	VERB	18	ccomp
25	a	DET	23	det
26	camera	NOUN	21	nsubj
27	there	ADV	21	advmod
28	.	PUNCT	5	punct