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:
Adolf Hitler even held an exhibition of 'degenerate art' in 1937, while curating a parallel show of 'Aryan' art across the street.
Postion	Tokenization
1	Adolf
2	Hitler
3	even
4	held
5	an
6	exhibition
7	of
8	'
9	degenerate
10	art
11	'
12	in
13	1937
14	,
15	while
16	curating
17	a
18	parallel
19	show
20	of
21	'
22	Aryan
23	'
24	art
25	across
26	the
27	street
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Adolf	PROPN	4	nsubj
2	Hitler	PROPN	1	flat
3	even	ADV	4	advmod
4	held	VERB	0	root
5	an	DET	6	det
6	exhibition	NOUN	4	obj
7	of	ADP	10	case
8	'	PUNCT	10	punct
9	degenerate	ADJ	10	amod
10	art	NOUN	6	nmod
11	'	PUNCT	10	punct
12	in	ADP	13	case
13	1937	NUM	4	obl
14	,	PUNCT	4	punct
15	while	SCONJ	16	mark
16	curating	VERB	4	advcl
17	a	DET	19	det
18	parallel	ADJ	19	amod
19	show	NOUN	16	obj
20	of	ADP	24	case
21	'	PUNCT	24	punct
22	Aryan	ADJ	24	amod
23	'	PUNCT	24	punct
24	art	NOUN	19	nmod
25	across	ADP	27	case
26	the	DET	27	det
27	street	NOUN	16	obl
28	.	PUNCT	4	punct