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 text: There's lots of towns called Miramar, it'd help alot if you listed a state or some sort of context you're looking for it in.
Position	Tokenization	UPOS	Head	Deprel
1	There's	_	None	_
2	There	PRON	2	expl
3	's	VERB	0	root
4	lots	NOUN	2	nsubj
5	of	ADP	5	case
6	towns	NOUN	3	nmod
7	called	VERB	5	acl
8	Miramar	PROPN	6	xcomp
9	,	PUNCT	2	punct
10	it'd	_	None	_
11	it	PRON	11	nsubj
12	'd	AUX	11	aux
13	help	VERB	2	parataxis
14	a	DET	13	det
15	lot	NOUN	11	obl:npmod
16	if	SCONJ	16	mark
17	you	PRON	16	nsubj
18	listed	VERB	11	advcl
19	a	DET	18	det
20	state	NOUN	16	obj
21	or	CCONJ	21	cc
22	some	DET	21	det
23	sort	NOUN	18	conj
24	of	ADP	23	case
25	context	NOUN	21	nmod
26	you're	_	None	_
27	you	PRON	26	nsubj
28	're	AUX	26	aux
29	looking	VERB	23	acl:relcl
30	for	ADP	28	case
31	it	PRON	26	obl
32	in	ADP	26	obl
33	.	PUNCT	2	punct