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:
For those with a larger appetite for the scenery and a larger budget, there are some hotel complexes much closer to the action with views of parts of the falls.
Postion	Tokenization
1	For
2	those
3	with
4	a
5	larger
6	appetite
7	for
8	the
9	scenery
10	and
11	a
12	larger
13	budget
14	,
15	there
16	are
17	some
18	hotel
19	complexes
20	much
21	closer
22	to
23	the
24	action
25	with
26	views
27	of
28	parts
29	of
30	the
31	falls
32	.
Position	Tokenization	UPOS	Head	Deprel
1	For	ADP	2	case
2	those	PRON	16	obl
3	with	ADP	6	case
4	a	DET	6	det
5	larger	ADJ	6	amod
6	appetite	NOUN	2	nmod
7	for	ADP	9	case
8	the	DET	9	det
9	scenery	NOUN	6	nmod
10	and	CCONJ	13	cc
11	a	DET	13	det
12	larger	ADJ	13	amod
13	budget	NOUN	6	conj
14	,	PUNCT	16	punct
15	there	PRON	16	expl
16	are	VERB	0	root
17	some	DET	19	det
18	hotel	NOUN	19	compound
19	complexes	NOUN	16	nsubj
20	much	ADV	21	advmod
21	closer	ADJ	19	amod
22	to	ADP	24	case
23	the	DET	24	det
24	action	NOUN	21	obl
25	with	ADP	26	case
26	views	NOUN	19	nmod
27	of	ADP	28	case
28	parts	NOUN	26	nmod
29	of	ADP	31	case
30	the	DET	31	det
31	falls	NOUN	28	nmod
32	.	PUNCT	16	punct