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:
Comfortable and clean beds, a bit noisy when people were coming in late from a night out, but we didn't mind too much as we were also just coming in from a night out!
Postion	Tokenization
1	Comfortable
2	and
3	clean
4	beds
5	,
6	a
7	bit
8	noisy
9	when
10	people
11	were
12	coming
13	in
14	late
15	from
16	a
17	night
18	out
19	,
20	but
21	we
22	didn't
23	did
24	n't
25	mind
26	too
27	much
28	as
29	we
30	were
31	also
32	just
33	coming
34	in
35	from
36	a
37	night
38	out
39	!
Position	Tokenization	UPOS	Head	Deprel
1	Comfortable	ADJ	4	amod
2	and	CCONJ	3	cc
3	clean	ADJ	1	conj
4	beds	NOUN	0	root
5	,	PUNCT	4	punct
6	a	DET	7	det
7	bit	NOUN	8	obl:npmod
8	noisy	ADJ	4	amod
9	when	SCONJ	12	mark
10	people	NOUN	12	nsubj
11	were	AUX	12	aux
12	coming	VERB	8	advcl
13	in	ADV	12	advmod
14	late	ADV	12	advmod
15	from	ADP	17	case
16	a	DET	17	det
17	night	NOUN	12	obl
18	out	ADV	17	advmod
19	,	PUNCT	4	punct
20	but	CCONJ	24	cc
21	we	PRON	24	nsubj
22	didn't	_	None	_
23	did	AUX	24	aux
24	n't	PART	24	advmod
25	mind	VERB	8	conj
26	too	ADV	26	advmod
27	much	ADV	24	advmod
28	as	SCONJ	32	mark
29	we	PRON	32	nsubj
30	were	AUX	32	aux
31	also	ADV	32	advmod
32	just	ADV	32	advmod
33	coming	VERB	24	advcl
34	in	ADV	32	advmod
35	from	ADP	36	case
36	a	DET	36	det
37	night	NOUN	32	obl
38	out	ADV	36	advmod
39	!	PUNCT	4	punct