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:
With the sun shinning down on the spray, creating a rainbow in the foreground, this is the perfect place to get that trademark Iguazu Falls photograph.
Postion	Tokenization
1	With
2	the
3	sun
4	shinning
5	down
6	on
7	the
8	spray
9	,
10	creating
11	a
12	rainbow
13	in
14	the
15	foreground
16	,
17	this
18	is
19	the
20	perfect
21	place
22	to
23	get
24	that
25	trademark
26	Iguazu
27	Falls
28	photograph
29	.
Position	Tokenization	UPOS	Head	Deprel
1	With	SCONJ	4	mark
2	the	DET	3	det
3	sun	NOUN	4	nsubj
4	shinning	VERB	21	advcl
5	down	ADV	4	advmod
6	on	ADP	8	case
7	the	DET	8	det
8	spray	NOUN	4	obl
9	,	PUNCT	4	punct
10	creating	VERB	4	advcl
11	a	DET	12	det
12	rainbow	NOUN	10	obj
13	in	ADP	15	case
14	the	DET	15	det
15	foreground	NOUN	10	obl
16	,	PUNCT	21	punct
17	this	PRON	21	nsubj
18	is	AUX	21	cop
19	the	DET	21	det
20	perfect	ADJ	21	amod
21	place	NOUN	0	root
22	to	PART	23	mark
23	get	VERB	21	acl
24	that	DET	28	det
25	trademark	NOUN	28	compound
26	Iguazu	PROPN	27	compound
27	Falls	PROPN	28	compound
28	photograph	NOUN	23	obj
29	.	PUNCT	21	punct