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:
Cestou z Brna směrem na Kunštát jsme hovořili o lidech, zkušenostech a politice skoro tak, jak to popisuje (anebo přímo předepisuje?) v jedné své básni Ludvík Kundera.
Postion	Tokenization
1	Cestou
2	z
3	Brna
4	směrem
5	na
6	Kunštát
7	jsme
8	hovořili
9	o
10	lidech
11	,
12	zkušenostech
13	a
14	politice
15	skoro
16	tak
17	,
18	jak
19	to
20	popisuje
21	(
22	anebo
23	přímo
24	předepisuje
25	?
26	)
27	v
28	jedné
29	své
30	básni
31	Ludvík
32	Kundera
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Cestou	NOUN	8	obl
2	z	ADP	3	case
3	Brna	PROPN	1	nmod
4	směrem	NOUN	1	nmod
5	na	ADP	6	case
6	Kunštát	PROPN	4	nmod
7	jsme	AUX	8	aux
8	hovořili	VERB	0	root
9	o	ADP	10	case
10	lidech	NOUN	8	obl:arg
11	,	PUNCT	12	punct
12	zkušenostech	NOUN	10	conj
13	a	CCONJ	14	cc
14	politice	NOUN	10	conj
15	skoro	ADV	16	advmod
16	tak	ADV	8	advmod
17	,	PUNCT	20	punct
18	jak	ADV	20	advmod
19	to	DET	20	obj
20	popisuje	VERB	8	advcl
21	(	PUNCT	24	punct
22	anebo	CCONJ	24	cc
23	přímo	ADV	24	advmod
24	předepisuje	VERB	20	conj
25	?	PUNCT	24	punct
26	)	PUNCT	24	punct
27	v	ADP	30	case
28	jedné	NUM	30	nummod
29	své	DET	30	det
30	básni	NOUN	20	obl
31	Ludvík	PROPN	20	nsubj
32	Kundera	PROPN	31	flat
33	.	PUNCT	8	punct