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:
The craziest part is that they aren't even based locally at the city I'm in- they just have 'teams' in areas through the country.
Postion	Tokenization
1	The
2	craziest
3	part
4	is
5	that
6	they
7	aren't
8	are
9	n't
10	even
11	based
12	locally
13	at
14	the
15	city
16	I'm
17	I
18	'm
19	in
20	-
21	they
22	just
23	have
24	'
25	teams
26	'
27	in
28	areas
29	through
30	the
31	country
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	craziest	ADJ	3	amod
3	part	NOUN	4	nsubj
4	is	VERB	0	root
5	that	SCONJ	10	mark
6	they	PRON	10	nsubj:pass
7	aren't	_	None	_
8	are	AUX	10	aux:pass
9	n't	PART	10	advmod
10	even	ADV	10	advmod
11	based	VERB	3	ccomp
12	locally	ADV	10	advmod
13	at	ADP	14	case
14	the	DET	14	det
15	city	NOUN	10	obl
16	I'm	_	None	_
17	I	PRON	17	nsubj
18	'm	AUX	17	cop
19	in	ADP	14	acl:relcl
20	-	PUNCT	4	punct
21	they	PRON	21	nsubj
22	just	ADV	21	advmod
23	have	VERB	4	parataxis
24	'	PUNCT	23	punct
25	teams	NOUN	21	obj
26	'	PUNCT	23	punct
27	in	ADP	26	case
28	areas	NOUN	23	nmod
29	through	ADP	29	case
30	the	DET	29	det
31	country	NOUN	26	nmod
32	.	PUNCT	4	punct