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 nearby and have tried several of the local places, this was the first one and I should have just stuck with it.
Postion	Tokenization
1	I
2	just
3	moved
4	nearby
5	and
6	have
7	tried
8	several
9	of
10	the
11	local
12	places
13	,
14	this
15	was
16	the
17	first
18	one
19	and
20	I
21	should
22	have
23	just
24	stuck
25	with
26	it
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	moved	VERB	0	root
4	nearby	ADV	3	advmod
5	and	CCONJ	7	cc
6	have	AUX	7	aux
7	tried	VERB	3	conj
8	several	ADJ	7	obj
9	of	ADP	12	case
10	the	DET	12	det
11	local	ADJ	12	amod
12	places	NOUN	8	obl
13	,	PUNCT	3	punct
14	this	PRON	18	nsubj
15	was	AUX	18	cop
16	the	DET	18	det
17	first	ADJ	18	amod
18	one	NUM	3	parataxis
19	and	CCONJ	24	cc
20	I	PRON	24	nsubj
21	should	AUX	24	aux
22	have	AUX	24	aux
23	just	ADV	24	advmod
24	stuck	VERB	18	conj
25	with	ADP	26	case
26	it	PRON	24	obl
27	.	PUNCT	3	punct