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:
the room you sleep in is best (seeing you so relaxed that you are sleeping will send the message that everything is OK), but others will work just as well.
Postion	Tokenization
1	the
2	room
3	you
4	sleep
5	in
6	is
7	best
8	(
9	seeing
10	you
11	so
12	relaxed
13	that
14	you
15	are
16	sleeping
17	will
18	send
19	the
20	message
21	that
22	everything
23	is
24	OK
25	)
26	,
27	but
28	others
29	will
30	work
31	just
32	as
33	well
34	.
Position	Tokenization	UPOS	Head	Deprel
1	the	DET	2	det
2	room	NOUN	7	nsubj
3	you	PRON	4	nsubj
4	sleep	VERB	2	acl:relcl
5	in	ADP	4	obl
6	is	AUX	7	cop
7	best	ADJ	0	root
8	(	PUNCT	18	punct
9	seeing	VERB	18	csubj
10	you	PRON	9	obj
11	so	ADV	12	advmod
12	relaxed	ADJ	9	xcomp
13	that	SCONJ	16	mark
14	you	PRON	16	nsubj
15	are	AUX	16	aux
16	sleeping	VERB	12	advcl
17	will	AUX	18	aux
18	send	VERB	7	parataxis
19	the	DET	20	det
20	message	NOUN	18	obj
21	that	SCONJ	24	mark
22	everything	PRON	24	nsubj
23	is	AUX	24	cop
24	OK	ADJ	20	acl
25	)	PUNCT	18	punct
26	,	PUNCT	30	punct
27	but	CCONJ	30	cc
28	others	NOUN	30	nsubj
29	will	AUX	30	aux
30	work	VERB	7	conj
31	just	ADV	33	advmod
32	as	ADV	30	advmod
33	well	ADV	32	fixed
34	.	PUNCT	7	punct