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 chose the later, but approached the front desk about the hotel policy to push over their responsibilities on local authorities, not to mention the good nights sleep i paid for but didnt get.
Postion	Tokenization
1	I
2	chose
3	the
4	later
5	,
6	but
7	approached
8	the
9	front
10	desk
11	about
12	the
13	hotel
14	policy
15	to
16	push
17	over
18	their
19	responsibilities
20	on
21	local
22	authorities
23	,
24	not
25	to
26	mention
27	the
28	good
29	nights
30	night
31	s
32	sleep
33	i
34	paid
35	for
36	but
37	didnt
38	did
39	nt
40	get
41	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	chose	VERB	0	root
3	the	DET	4	det
4	later	ADJ	2	obj
5	,	PUNCT	7	punct
6	but	CCONJ	7	cc
7	approached	VERB	2	conj
8	the	DET	10	det
9	front	ADJ	10	amod
10	desk	NOUN	7	obj
11	about	ADP	14	case
12	the	DET	14	det
13	hotel	NOUN	14	compound
14	policy	NOUN	7	obl
15	to	PART	16	mark
16	push	VERB	14	acl
17	over	ADP	16	compound:prt
18	their	PRON	19	nmod:poss
19	responsibilities	NOUN	16	obj
20	on	ADP	22	case
21	local	ADJ	22	amod
22	authorities	NOUN	16	obl
23	,	PUNCT	31	punct
24	not	ADV	31	cc
25	to	PART	24	fixed
26	mention	VERB	24	fixed
27	the	DET	31	det
28	good	ADJ	29	amod
29	nights	_	None	_
30	night	NOUN	31	nmod:poss
31	s	PART	29	case
32	sleep	NOUN	14	conj
33	i	PRON	33	nsubj
34	paid	VERB	31	acl:relcl
35	for	ADP	33	obl
36	but	CCONJ	38	cc
37	didnt	_	None	_
38	did	AUX	38	aux
39	nt	PART	38	advmod
40	get	VERB	33	conj
41	.	PUNCT	2	punct