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 just moved into the city, and I'm wondering if there's a place I can get good deals on restaurants here.
Postion	Tokenization
1	I
2	just
3	moved
4	into
5	the
6	city
7	,
8	and
9	I'm
10	I
11	'm
12	wondering
13	if
14	there's
15	there
16	's
17	a
18	place
19	I
20	can
21	get
22	good
23	deals
24	on
25	restaurants
26	here
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	moved	VERB	0	root
4	into	ADP	6	case
5	the	DET	6	det
6	city	NOUN	3	obl
7	,	PUNCT	11	punct
8	and	CCONJ	11	cc
9	I'm	_	None	_
10	I	PRON	11	nsubj
11	'm	AUX	11	aux
12	wondering	VERB	3	conj
13	if	SCONJ	14	mark
14	there's	_	None	_
15	there	PRON	14	expl
16	's	VERB	11	advcl
17	a	DET	16	det
18	place	NOUN	14	nsubj
19	I	PRON	19	nsubj
20	can	AUX	19	aux
21	get	VERB	16	acl:relcl
22	good	ADJ	21	amod
23	deals	NOUN	19	obj
24	on	ADP	23	case
25	restaurants	NOUN	21	nmod
26	here	ADV	23	advmod
27	.	PUNCT	3	punct