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 neon lighting sign still said "on" yet some guy who seemed to be the oldest of the bunch, more like the drunkest of the bunch told me they'd be open tomorrow.
Postion	Tokenization
1	The
2	neon
3	lighting
4	sign
5	still
6	said
7	"
8	on
9	"
10	yet
11	some
12	guy
13	who
14	seemed
15	to
16	be
17	the
18	oldest
19	of
20	the
21	bunch
22	,
23	more
24	like
25	the
26	drunkest
27	of
28	the
29	bunch
30	told
31	me
32	they'd
33	they
34	'd
35	be
36	open
37	tomorrow
38	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	neon	NOUN	3	compound
3	lighting	NOUN	4	compound
4	sign	NOUN	6	nsubj
5	still	ADV	6	advmod
6	said	VERB	0	root
7	"	PUNCT	8	punct
8	on	ADV	6	advmod
9	"	PUNCT	8	punct
10	yet	CCONJ	30	cc
11	some	DET	12	det
12	guy	NOUN	30	nsubj
13	who	PRON	14	nsubj
14	seemed	VERB	12	acl:relcl
15	to	PART	18	mark
16	be	AUX	18	cop
17	the	DET	18	det
18	oldest	ADJ	14	xcomp
19	of	ADP	21	case
20	the	DET	21	det
21	bunch	NOUN	18	obl
22	,	PUNCT	12	punct
23	more	ADV	26	advmod
24	like	ADP	26	case
25	the	DET	26	det
26	drunkest	ADJ	12	nmod
27	of	ADP	29	case
28	the	DET	29	det
29	bunch	NOUN	26	obl
30	told	VERB	6	conj
31	me	PRON	30	obj
32	they'd	_	None	_
33	they	PRON	35	nsubj
34	'd	AUX	35	aux
35	be	AUX	35	cop
36	open	ADJ	30	ccomp
37	tomorrow	NOUN	35	obl:tmod
38	.	PUNCT	6	punct