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:
Neboť jaký blázen by měl zájem kolem roku 1895 padělat holandského umělce, jehož plátna byla k dostání po dvou stech francích?
Postion	Tokenization
1	Neboť
2	jaký
3	blázen
4	by
5	měl
6	zájem
7	kolem
8	roku
9	1895
10	padělat
11	holandského
12	umělce
13	,
14	jehož
15	plátna
16	byla
17	k
18	dostání
19	po
20	dvou
21	stech
22	francích
23	?
Position	Tokenization	UPOS	Head	Deprel
1	Neboť	CCONJ	5	cc
2	jaký	DET	3	det
3	blázen	NOUN	5	nsubj
4	by	AUX	5	aux
5	měl	VERB	0	root
6	zájem	NOUN	5	obj
7	kolem	ADP	8	case
8	roku	NOUN	5	obl
9	1895	NUM	8	nummod
10	padělat	VERB	6	acl
11	holandského	ADJ	12	amod
12	umělce	NOUN	10	obj
13	,	PUNCT	16	punct
14	jehož	PRON	15	nmod
15	plátna	NOUN	16	nsubj
16	byla	VERB	12	acl:relcl
17	k	ADP	18	case
18	dostání	NOUN	16	obl
19	po	ADP	21	case
20	dvou	NUM	21	compound
21	stech	NUM	16	obl
22	francích	NOUN	21	nmod
23	?	PUNCT	5	punct