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:
remember to give him the time he needs to feel that the room is his - rush it, and he will be afraid of the whole house for a long time.
Postion	Tokenization
1	remember
2	to
3	give
4	him
5	the
6	time
7	he
8	needs
9	to
10	feel
11	that
12	the
13	room
14	is
15	his
16	-
17	rush
18	it
19	,
20	and
21	he
22	will
23	be
24	afraid
25	of
26	the
27	whole
28	house
29	for
30	a
31	long
32	time
33	.
Position	Tokenization	UPOS	Head	Deprel
1	remember	VERB	0	root
2	to	PART	3	mark
3	give	VERB	1	xcomp
4	him	PRON	3	iobj
5	the	DET	6	det
6	time	NOUN	3	obj
7	he	PRON	8	nsubj
8	needs	VERB	6	acl:relcl
9	to	PART	10	mark
10	feel	VERB	6	acl
11	that	SCONJ	15	mark
12	the	DET	13	det
13	room	NOUN	15	nsubj
14	is	AUX	15	cop
15	his	PRON	10	ccomp
16	-	PUNCT	1	punct
17	rush	VERB	1	parataxis
18	it	PRON	17	obj
19	,	PUNCT	24	punct
20	and	CCONJ	24	cc
21	he	PRON	24	nsubj
22	will	AUX	24	aux
23	be	AUX	24	cop
24	afraid	ADJ	17	conj
25	of	ADP	28	case
26	the	DET	28	det
27	whole	ADJ	28	amod
28	house	NOUN	24	obl
29	for	ADP	32	case
30	a	DET	32	det
31	long	ADJ	32	amod
32	time	NOUN	24	obl
33	.	PUNCT	1	punct