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:
My next-door neighbor heard the noise and turned on a light, thankfully scaring the two miscreants away (they even left their hammer behind!).
Postion	Tokenization
1	My
2	next
3	-
4	door
5	neighbor
6	heard
7	the
8	noise
9	and
10	turned
11	on
12	a
13	light
14	,
15	thankfully
16	scaring
17	the
18	two
19	miscreants
20	away
21	(
22	they
23	even
24	left
25	their
26	hammer
27	behind
28	!
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	5	nmod:poss
2	next	ADJ	4	amod
3	-	PUNCT	4	punct
4	door	NOUN	5	compound
5	neighbor	NOUN	6	nsubj
6	heard	VERB	0	root
7	the	DET	8	det
8	noise	NOUN	6	obj
9	and	CCONJ	10	cc
10	turned	VERB	6	conj
11	on	ADP	10	compound:prt
12	a	DET	13	det
13	light	NOUN	10	obj
14	,	PUNCT	10	punct
15	thankfully	ADV	16	advmod
16	scaring	VERB	10	advcl
17	the	DET	19	det
18	two	NUM	19	nummod
19	miscreants	NOUN	16	obj
20	away	ADV	16	advmod
21	(	PUNCT	24	punct
22	they	PRON	24	nsubj
23	even	ADV	24	advmod
24	left	VERB	6	parataxis
25	their	PRON	26	nmod:poss
26	hammer	NOUN	24	obj
27	behind	ADV	24	advmod
28	!	PUNCT	24	punct
29	)	PUNCT	24	punct
30	.	PUNCT	6	punct