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:
I've had a few great shots ruined myself because there was something in the background I didn't notice at first.
Postion	Tokenization
1	I've
2	I
3	've
4	had
5	a
6	few
7	great
8	shots
9	ruined
10	myself
11	because
12	there
13	was
14	something
15	in
16	the
17	background
18	I
19	didn't
20	did
21	n't
22	notice
23	at
24	first
25	.
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	3	nsubj
3	've	AUX	3	aux
4	had	VERB	0	root
5	a	DET	7	det
6	few	ADJ	7	amod
7	great	ADJ	7	amod
8	shots	NOUN	3	obj
9	ruined	VERB	3	xcomp
10	myself	PRON	3	obl:npmod
11	because	SCONJ	12	mark
12	there	PRON	12	expl
13	was	VERB	8	advcl
14	something	PRON	12	nsubj
15	in	ADP	16	case
16	the	DET	16	det
17	background	NOUN	13	nmod
18	I	PRON	20	nsubj
19	didn't	_	None	_
20	did	AUX	20	aux
21	n't	PART	20	advmod
22	notice	VERB	13	acl:relcl
23	at	ADV	22	advmod
24	first	ADV	20	advmod
25	.	PUNCT	3	punct