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:
To make the reference more pointed and unmistakable, Sir Nathaniel replies "a most singular & choice epithet," and at once enters it in his note book.
Postion	Tokenization
1	To
2	make
3	the
4	reference
5	more
6	pointed
7	and
8	unmistakable
9	,
10	Sir
11	Nathaniel
12	replies
13	"
14	a
15	most
16	singular
17	&
18	choice
19	epithet
20	,
21	"
22	and
23	at
24	once
25	enters
26	it
27	in
28	his
29	note
30	book
31	.
Position	Tokenization	UPOS	Head	Deprel
1	To	PART	2	mark
2	make	VERB	12	advcl
3	the	DET	4	det
4	reference	NOUN	2	obj
5	more	ADV	6	advmod
6	pointed	ADJ	2	xcomp
7	and	CCONJ	8	cc
8	unmistakable	ADJ	6	conj
9	,	PUNCT	12	punct
10	Sir	PROPN	12	nsubj
11	Nathaniel	PROPN	10	flat
12	replies	VERB	0	root
13	"	PUNCT	12	punct
14	a	DET	19	det
15	most	ADV	16	advmod
16	singular	ADJ	19	amod
17	&	CCONJ	18	cc
18	choice	ADJ	16	conj
19	epithet	NOUN	12	obj
20	,	PUNCT	25	punct
21	"	PUNCT	12	punct
22	and	CCONJ	25	cc
23	at	ADV	24	advmod
24	once	ADV	25	advmod
25	enters	VERB	12	conj
26	it	PRON	25	obj
27	in	ADP	30	case
28	his	PRON	30	nmod:poss
29	note	NOUN	30	compound
30	book	NOUN	25	obl
31	.	PUNCT	12	punct