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:
Take a photo of a very light plain subject close to the lens using long exposure and smallest aperture you have - over expose by a couple of stops
Postion	Tokenization
1	Take
2	a
3	photo
4	of
5	a
6	very
7	light
8	plain
9	subject
10	close
11	to
12	the
13	lens
14	using
15	long
16	exposure
17	and
18	smallest
19	aperture
20	you
21	have
22	-
23	over
24	expose
25	by
26	a
27	couple
28	of
29	stops
Position	Tokenization	UPOS	Head	Deprel
1	Take	VERB	0	root
2	a	DET	3	det
3	photo	NOUN	1	obj
4	of	ADP	9	case
5	a	DET	9	det
6	very	ADV	7	advmod
7	light	ADJ	9	amod
8	plain	NOUN	9	compound
9	subject	NOUN	3	nmod
10	close	ADJ	9	amod
11	to	ADP	13	case
12	the	DET	13	det
13	lens	NOUN	10	obl
14	using	VERB	1	advcl
15	long	ADJ	16	amod
16	exposure	NOUN	14	obj
17	and	CCONJ	19	cc
18	smallest	ADJ	19	amod
19	aperture	NOUN	16	conj
20	you	PRON	21	nsubj
21	have	VERB	19	acl:relcl
22	-	PUNCT	1	punct
23	over	X	1	parataxis
24	expose	VERB	23	goeswith
25	by	ADP	27	case
26	a	DET	27	det
27	couple	NOUN	23	obl
28	of	ADP	29	case
29	stops	NOUN	27	nmod