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 never considered this a real problem as I travel without kids and can fend for myself, but when I had to listen to a (non-violent) domestic fight that lasted from 1 AM to 5 AM during my last stay and I found out that the front desk was unmanned during night hours, my choice was to either waste tax payers money by calling for a yet another police dispatch to this hotel, or just get over it.
Postion	Tokenization
1	I
2	have
3	never
4	considered
5	this
6	a
7	real
8	problem
9	as
10	I
11	travel
12	without
13	kids
14	and
15	can
16	fend
17	for
18	myself
19	,
20	but
21	when
22	I
23	had
24	to
25	listen
26	to
27	a
28	(
29	non-violent
30	)
31	domestic
32	fight
33	that
34	lasted
35	from
36	1
37	AM
38	to
39	5
40	AM
41	during
42	my
43	last
44	stay
45	and
46	I
47	found
48	out
49	that
50	the
51	front
52	desk
53	was
54	unmanned
55	during
56	night
57	hours
58	,
59	my
60	choice
61	was
62	to
63	either
64	waste
65	tax
66	payers
67	money
68	by
69	calling
70	for
71	a
72	yet
73	another
74	police
75	dispatch
76	to
77	this
78	hotel
79	,
80	or
81	just
82	get
83	over
84	it
85	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	have	AUX	4	aux
3	never	ADV	4	advmod
4	considered	VERB	0	root
5	this	PRON	4	obj
6	a	DET	8	det
7	real	ADJ	8	amod
8	problem	NOUN	4	xcomp
9	as	SCONJ	11	mark
10	I	PRON	11	nsubj
11	travel	VERB	4	advcl
12	without	ADP	13	case
13	kids	NOUN	11	obl
14	and	CCONJ	16	cc
15	can	AUX	16	aux
16	fend	VERB	11	conj
17	for	ADP	18	case
18	myself	PRON	16	obl
19	,	PUNCT	64	punct
20	but	CCONJ	64	cc
21	when	SCONJ	23	mark
22	I	PRON	23	nsubj
23	had	VERB	64	advcl
24	to	PART	25	mark
25	listen	VERB	23	xcomp
26	to	ADP	32	case
27	a	DET	32	det
28	(	PUNCT	32	punct
29	non-violent	ADJ	32	amod
30	)	PUNCT	32	punct
31	domestic	ADJ	32	amod
32	fight	NOUN	25	obl
33	that	PRON	34	nsubj
34	lasted	VERB	32	acl:relcl
35	from	ADP	37	case
36	1	NUM	37	nummod
37	AM	NOUN	34	obl
38	to	ADP	40	case
39	5	NUM	40	nummod
40	AM	NOUN	34	obl
41	during	ADP	44	case
42	my	PRON	44	nmod:poss
43	last	ADJ	44	amod
44	stay	NOUN	23	obl
45	and	CCONJ	47	cc
46	I	PRON	47	nsubj
47	found	VERB	23	conj
48	out	ADP	47	compound:prt
49	that	SCONJ	54	mark
50	the	DET	52	det
51	front	ADJ	52	amod
52	desk	NOUN	54	nsubj
53	was	AUX	54	cop
54	unmanned	ADJ	47	ccomp
55	during	ADP	57	case
56	night	NOUN	57	compound
57	hours	NOUN	54	obl
58	,	PUNCT	64	punct
59	my	PRON	60	nmod:poss
60	choice	NOUN	64	nsubj
61	was	AUX	64	cop
62	to	PART	64	mark
63	either	CCONJ	64	cc:preconj
64	waste	VERB	4	conj
65	tax	NOUN	66	compound
66	payers	NOUN	67	compound
67	money	NOUN	64	obj
68	by	SCONJ	69	mark
69	calling	VERB	64	advcl
70	for	ADP	75	case
71	a	DET	75	det
72	yet	ADV	73	advmod
73	another	ADJ	75	amod
74	police	NOUN	75	compound
75	dispatch	NOUN	69	obl
76	to	ADP	78	case
77	this	DET	78	det
78	hotel	NOUN	75	nmod
79	,	PUNCT	82	punct
80	or	CCONJ	82	cc
81	just	ADV	82	advmod
82	get	VERB	64	conj
83	over	ADP	84	case
84	it	PRON	82	obl
85	.	PUNCT	4	punct