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:
Sure, some will return, but I have a feeling that once many begin to get jobs and temporary housing, they may be shy about returning.
Postion	Tokenization
1	Sure
2	,
3	some
4	will
5	return
6	,
7	but
8	I
9	have
10	a
11	feeling
12	that
13	once
14	many
15	begin
16	to
17	get
18	jobs
19	and
20	temporary
21	housing
22	,
23	they
24	may
25	be
26	shy
27	about
28	returning
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Sure	INTJ	5	discourse
2	,	PUNCT	5	punct
3	some	DET	5	nsubj
4	will	AUX	5	aux
5	return	VERB	0	root
6	,	PUNCT	9	punct
7	but	CCONJ	9	cc
8	I	PRON	9	nsubj
9	have	VERB	5	conj
10	a	DET	11	det
11	feeling	NOUN	9	obj
12	that	SCONJ	26	mark
13	once	SCONJ	15	mark
14	many	ADJ	15	nsubj
15	begin	VERB	26	advcl
16	to	PART	17	mark
17	get	VERB	15	xcomp
18	jobs	NOUN	17	obj
19	and	CCONJ	21	cc
20	temporary	ADJ	21	amod
21	housing	NOUN	18	conj
22	,	PUNCT	26	punct
23	they	PRON	26	nsubj
24	may	AUX	26	aux
25	be	AUX	26	cop
26	shy	ADJ	11	acl
27	about	SCONJ	28	mark
28	returning	VERB	26	advcl
29	.	PUNCT	5	punct