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:
First, let me state that although I live in NYC, I am not from NYC, I don't care about baseball and I absolutely love Boston to death (so beautiful, so clean, so awesome).
Postion	Tokenization
1	First
2	,
3	let
4	me
5	state
6	that
7	although
8	I
9	live
10	in
11	NYC
12	,
13	I
14	am
15	not
16	from
17	NYC
18	,
19	I
20	don't
21	do
22	n't
23	care
24	about
25	baseball
26	and
27	I
28	absolutely
29	love
30	Boston
31	to
32	death
33	(
34	so
35	beautiful
36	,
37	so
38	clean
39	,
40	so
41	awesome
42	)
43	.
Position	Tokenization	UPOS	Head	Deprel
1	First	ADV	3	advmod
2	,	PUNCT	3	punct
3	let	VERB	0	root
4	me	PRON	3	obj
5	state	VERB	3	xcomp
6	that	SCONJ	17	mark
7	although	SCONJ	9	mark
8	I	PRON	9	nsubj
9	live	VERB	17	advcl
10	in	ADP	11	case
11	NYC	PROPN	9	obl
12	,	PUNCT	17	punct
13	I	PRON	17	nsubj
14	am	AUX	17	cop
15	not	PART	17	advmod
16	from	ADP	17	case
17	NYC	PROPN	5	ccomp
18	,	PUNCT	22	punct
19	I	PRON	22	nsubj
20	don't	_	None	_
21	do	AUX	22	aux
22	n't	PART	22	advmod
23	care	VERB	17	conj
24	about	ADP	24	case
25	baseball	NOUN	22	obl
26	and	CCONJ	28	cc
27	I	PRON	28	nsubj
28	absolutely	ADV	28	advmod
29	love	VERB	17	conj
30	Boston	PROPN	28	obj
31	to	ADP	31	case
32	death	NOUN	28	obl
33	(	PUNCT	34	punct
34	so	ADV	34	advmod
35	beautiful	ADJ	28	parataxis
36	,	PUNCT	34	punct
37	so	ADV	37	advmod
38	clean	ADJ	34	list
39	,	PUNCT	34	punct
40	so	ADV	40	advmod
41	awesome	ADJ	34	list
42	)	PUNCT	34	punct
43	.	PUNCT	34	punct