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:
However, save some of your shots for the rest of the falls, as in total there are around 270 cascades that spread out over nearly 2 miles of the Iguazu River.
Postion	Tokenization
1	However
2	,
3	save
4	some
5	of
6	your
7	shots
8	for
9	the
10	rest
11	of
12	the
13	falls
14	,
15	as
16	in
17	total
18	there
19	are
20	around
21	270
22	cascades
23	that
24	spread
25	out
26	over
27	nearly
28	2
29	miles
30	of
31	the
32	Iguazu
33	River
34	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	3	advmod
2	,	PUNCT	3	punct
3	save	VERB	0	root
4	some	DET	3	obj
5	of	ADP	7	case
6	your	PRON	7	nmod:poss
7	shots	NOUN	4	nmod
8	for	ADP	10	case
9	the	DET	10	det
10	rest	NOUN	3	obl
11	of	ADP	13	case
12	the	DET	13	det
13	falls	NOUN	10	nmod
14	,	PUNCT	3	punct
15	as	SCONJ	19	mark
16	in	ADP	17	case
17	total	ADJ	19	obl
18	there	PRON	19	expl
19	are	VERB	3	advcl
20	around	ADV	21	advmod
21	270	NUM	22	nummod
22	cascades	NOUN	19	nsubj
23	that	PRON	24	nsubj
24	spread	VERB	22	acl:relcl
25	out	ADV	24	advmod
26	over	ADP	29	case
27	nearly	ADV	28	advmod
28	2	NUM	29	nummod
29	miles	NOUN	24	obl
30	of	ADP	33	case
31	the	DET	33	det
32	Iguazu	PROPN	33	compound
33	River	PROPN	29	nmod
34	.	PUNCT	3	punct