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:
"Wei has given some virtuoso performances with brush and ink, often incorporating several different techniques into a single work," said Gordon S. Barrass, curator of the exhibition.
Postion	Tokenization
1	"
2	Wei
3	has
4	given
5	some
6	virtuoso
7	performances
8	with
9	brush
10	and
11	ink
12	,
13	often
14	incorporating
15	several
16	different
17	techniques
18	into
19	a
20	single
21	work
22	,
23	"
24	said
25	Gordon
26	S.
27	Barrass
28	,
29	curator
30	of
31	the
32	exhibition
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	24	punct
2	Wei	PROPN	4	nsubj
3	has	AUX	4	aux
4	given	VERB	24	ccomp
5	some	DET	7	det
6	virtuoso	NOUN	7	compound
7	performances	NOUN	4	obj
8	with	ADP	9	case
9	brush	NOUN	4	obl
10	and	CCONJ	11	cc
11	ink	NOUN	9	conj
12	,	PUNCT	4	punct
13	often	ADV	14	advmod
14	incorporating	VERB	4	advcl
15	several	ADJ	17	amod
16	different	ADJ	17	amod
17	techniques	NOUN	14	obj
18	into	ADP	21	case
19	a	DET	21	det
20	single	ADJ	21	amod
21	work	NOUN	14	obl
22	,	PUNCT	24	punct
23	"	PUNCT	24	punct
24	said	VERB	0	root
25	Gordon	PROPN	24	nsubj
26	S.	PROPN	25	flat
27	Barrass	PROPN	25	flat
28	,	PUNCT	25	punct
29	curator	NOUN	25	appos
30	of	ADP	32	case
31	the	DET	32	det
32	exhibition	NOUN	29	nmod
33	.	PUNCT	24	punct