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 have stayed in this hotel many times, and while it typically offers a decent bang for the buck, its client base largely consists of troubled youngsteers and evictees from the local, not so pleasant hood.
Postion	Tokenization
1	I
2	have
3	stayed
4	in
5	this
6	hotel
7	many
8	times
9	,
10	and
11	while
12	it
13	typically
14	offers
15	a
16	decent
17	bang
18	for
19	the
20	buck
21	,
22	its
23	client
24	base
25	largely
26	consists
27	of
28	troubled
29	youngsteers
30	and
31	evictees
32	from
33	the
34	local
35	,
36	not
37	so
38	pleasant
39	hood
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	stayed	VERB	0	root
4	in	ADP	6	case
5	this	DET	6	det
6	hotel	NOUN	3	obl
7	many	ADJ	8	amod
8	times	NOUN	3	obl:tmod
9	,	PUNCT	26	punct
10	and	CCONJ	26	cc
11	while	SCONJ	14	mark
12	it	PRON	14	nsubj
13	typically	ADV	14	advmod
14	offers	VERB	26	advcl
15	a	DET	17	det
16	decent	ADJ	17	amod
17	bang	NOUN	14	obj
18	for	ADP	20	case
19	the	DET	20	det
20	buck	NOUN	17	nmod
21	,	PUNCT	26	punct
22	its	PRON	24	nmod:poss
23	client	NOUN	24	compound
24	base	NOUN	26	nsubj
25	largely	ADV	26	advmod
26	consists	VERB	3	conj
27	of	ADP	29	case
28	troubled	ADJ	29	amod
29	youngsteers	NOUN	26	obl
30	and	CCONJ	31	cc
31	evictees	NOUN	29	conj
32	from	ADP	39	case
33	the	DET	39	det
34	local	ADJ	39	amod
35	,	PUNCT	39	punct
36	not	ADV	38	advmod
37	so	ADV	38	advmod
38	pleasant	ADJ	39	amod
39	hood	NOUN	29	nmod
40	.	PUNCT	3	punct