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 called reception to ask if they knew the state the room was in and was told "This is a Days Inn, not the Hilton" and the receptionist then hung up on me.
Postion	Tokenization
1	I
2	called
3	reception
4	to
5	ask
6	if
7	they
8	knew
9	the
10	state
11	the
12	room
13	was
14	in
15	and
16	was
17	told
18	"
19	This
20	is
21	a
22	Days
23	Inn
24	,
25	not
26	the
27	Hilton
28	"
29	and
30	the
31	receptionist
32	then
33	hung
34	up
35	on
36	me
37	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	called	VERB	0	root
3	reception	NOUN	2	obj
4	to	PART	5	mark
5	ask	VERB	2	advcl
6	if	SCONJ	8	mark
7	they	PRON	8	nsubj
8	knew	VERB	5	advcl
9	the	DET	10	det
10	state	NOUN	8	obj
11	the	DET	12	det
12	room	NOUN	14	nsubj
13	was	AUX	14	cop
14	in	ADP	10	acl:relcl
15	and	CCONJ	17	cc
16	was	AUX	17	aux:pass
17	told	VERB	2	conj
18	"	PUNCT	23	punct
19	This	PRON	23	nsubj
20	is	AUX	23	cop
21	a	DET	23	det
22	Days	PROPN	23	compound
23	Inn	PROPN	17	ccomp
24	,	PUNCT	27	punct
25	not	ADV	27	advmod
26	the	DET	27	det
27	Hilton	PROPN	23	conj
28	"	PUNCT	23	punct
29	and	CCONJ	33	cc
30	the	DET	31	det
31	receptionist	NOUN	33	nsubj
32	then	ADV	33	advmod
33	hung	VERB	2	conj
34	up	ADP	33	compound:prt
35	on	ADP	36	case
36	me	PRON	33	obl
37	.	PUNCT	2	punct