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:
Byla inspirována kolokviem, které loni v listopadu pět let po pádu berlínské zdi zorganizovalo francouzské ministerstvo kultury," uvedl k tomu Krejča.
Postion	Tokenization
1	Byla
2	inspirována
3	kolokviem
4	,
5	které
6	loni
7	v
8	listopadu
9	pět
10	let
11	po
12	pádu
13	berlínské
14	zdi
15	zorganizovalo
16	francouzské
17	ministerstvo
18	kultury
19	,
20	"
21	uvedl
22	k
23	tomu
24	Krejča
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Byla	AUX	2	aux:pass
2	inspirována	ADJ	21	obj
3	kolokviem	NOUN	2	obl
4	,	PUNCT	15	punct
5	které	DET	15	obj
6	loni	ADV	15	advmod
7	v	ADP	8	case
8	listopadu	NOUN	15	obl
9	pět	NUM	10	nummod:gov
10	let	NOUN	15	obl
11	po	ADP	12	case
12	pádu	NOUN	10	nmod
13	berlínské	ADJ	14	amod
14	zdi	NOUN	12	nmod
15	zorganizovalo	VERB	3	acl:relcl
16	francouzské	ADJ	17	amod
17	ministerstvo	NOUN	15	nsubj
18	kultury	NOUN	17	nmod
19	,	PUNCT	2	punct
20	"	PUNCT	2	punct
21	uvedl	VERB	0	root
22	k	ADP	23	case
23	tomu	DET	21	obl
24	Krejča	PROPN	21	nsubj
25	.	PUNCT	21	punct