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 the Episode "So in Louvre Are We Two", How many diffrent painting/scupltures are their and who are the artists?
Postion	Tokenization
1	In
2	the
3	Episode
4	"
5	So
6	in
7	Louvre
8	Are
9	We
10	Two
11	"
12	,
13	How
14	many
15	diffrent
16	painting
17	/
18	scupltures
19	are
20	their
21	and
22	who
23	are
24	the
25	artists
26	?
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	3	case
2	the	DET	3	det
3	Episode	NOUN	19	obl
4	"	PUNCT	7	punct
5	So	ADV	7	advmod
6	in	ADP	7	case
7	Louvre	PROPN	3	appos
8	Are	AUX	7	cop
9	We	PRON	7	nsubj
10	Two	PROPN	9	appos
11	"	PUNCT	7	punct
12	,	PUNCT	19	punct
13	How	ADV	14	advmod
14	many	ADJ	18	amod
15	diffrent	ADJ	16	amod
16	painting	NOUN	19	nsubj
17	/	SYM	18	cc
18	scupltures	NOUN	16	conj
19	are	VERB	0	root
20	their	PRON	19	expl
21	and	CCONJ	22	cc
22	who	PRON	19	conj
23	are	AUX	22	cop
24	the	DET	25	det
25	artists	NOUN	22	nsubj
26	?	PUNCT	19	punct