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:
In Wei's art, a logician could see mathematical logic, a cellist could see a ripple of nine bass notes, a country girl could see straw, and Harry Potter could see two accompanied green blazes.
Postion	Tokenization
1	In
2	Wei's
3	Wei
4	's
5	art
6	,
7	a
8	logician
9	could
10	see
11	mathematical
12	logic
13	,
14	a
15	cellist
16	could
17	see
18	a
19	ripple
20	of
21	nine
22	bass
23	notes
24	,
25	a
26	country
27	girl
28	could
29	see
30	straw
31	,
32	and
33	Harry
34	Potter
35	could
36	see
37	two
38	accompanied
39	green
40	blazes
41	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	case
2	Wei's	_	None	_
3	Wei	PROPN	4	nmod:poss
4	's	PART	2	case
5	art	NOUN	9	obl
6	,	PUNCT	9	punct
7	a	DET	7	det
8	logician	NOUN	9	nsubj
9	could	AUX	9	aux
10	see	VERB	0	root
11	mathematical	ADJ	11	amod
12	logic	NOUN	9	obj
13	,	PUNCT	16	punct
14	a	DET	14	det
15	cellist	NOUN	16	nsubj
16	could	AUX	16	aux
17	see	VERB	9	conj
18	a	DET	18	det
19	ripple	NOUN	16	obj
20	of	ADP	22	case
21	nine	NUM	22	nummod
22	bass	ADJ	22	amod
23	notes	NOUN	16	obl
24	,	PUNCT	28	punct
25	a	DET	26	det
26	country	NOUN	26	compound
27	girl	NOUN	28	nsubj
28	could	AUX	28	aux
29	see	VERB	9	conj
30	straw	NOUN	28	obj
31	,	PUNCT	35	punct
32	and	CCONJ	35	cc
33	Harry	PROPN	35	nsubj
34	Potter	PROPN	32	flat
35	could	AUX	35	aux
36	see	VERB	9	conj
37	two	NUM	39	nummod
38	accompanied	VERB	39	amod
39	green	ADJ	39	amod
40	blazes	NOUN	35	obj
41	.	PUNCT	9	punct