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 text: Jak nyní podotkla Marie Rút Křížková, editorka jeho Sebraných spisů v Českém spisovateli (Červenou knihu bohužel nestihlo nakladatelství k termínu konání festivalu připravit), nyní byl Kutné Hoře vrácen.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	3	mark
2	nyní	ADV	3	advmod
3	podotkla	VERB	32	parataxis
4	Marie	PROPN	3	nsubj
5	Rút	PROPN	4	flat
6	Křížková	PROPN	4	flat
7	,	PUNCT	8	punct
8	editorka	NOUN	4	appos
9	jeho	DET	11	det
10	Sebraných	ADJ	11	amod
11	spisů	NOUN	8	nmod
12	v	ADP	14	case
13	Českém	ADJ	14	amod
14	spisovateli	NOUN	11	nmod
15	(	PUNCT	19	punct
16	Červenou	ADJ	17	amod
17	knihu	NOUN	25	obj
18	bohužel	PART	19	advmod
19	nestihlo	VERB	3	parataxis
20	nakladatelství	NOUN	19	nsubj
21	k	ADP	22	case
22	termínu	NOUN	19	obl
23	konání	NOUN	22	nmod
24	festivalu	NOUN	23	nmod
25	připravit	VERB	19	xcomp
26	)	PUNCT	19	punct
27	,	PUNCT	3	punct
28	nyní	ADV	32	advmod
29	byl	AUX	32	aux:pass
30	Kutné	PROPN	31	nmod
31	Hoře	PROPN	32	obl:arg
32	vrácen	ADJ	0	root
33	.	PUNCT	32	punct