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:
Ke koncepční činnosti se politik - mluvím zde o českém politikovi, ale nejen o něm - dostává až pozdě v noci, anebo na cestách.
Postion	Tokenization
1	Ke
2	koncepční
3	činnosti
4	se
5	politik
6	-
7	mluvím
8	zde
9	o
10	českém
11	politikovi
12	,
13	ale
14	nejen
15	o
16	něm
17	-
18	dostává
19	až
20	pozdě
21	v
22	noci
23	,
24	anebo
25	na
26	cestách
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ke	ADP	3	case
2	koncepční	ADJ	3	amod
3	činnosti	NOUN	18	obl:arg
4	se	PRON	18	expl:pv
5	politik	NOUN	18	nsubj
6	-	PUNCT	7	punct
7	mluvím	VERB	18	parataxis
8	zde	ADV	7	advmod
9	o	ADP	11	case
10	českém	ADJ	11	amod
11	politikovi	NOUN	7	obl:arg
12	,	PUNCT	16	punct
13	ale	CCONJ	16	cc
14	nejen	PART	16	advmod:emph
15	o	ADP	16	case
16	něm	PRON	11	conj
17	-	PUNCT	7	punct
18	dostává	VERB	0	root
19	až	PART	20	advmod:emph
20	pozdě	ADV	18	advmod
21	v	ADP	22	case
22	noci	NOUN	20	obl
23	,	PUNCT	26	punct
24	anebo	CCONJ	26	cc
25	na	ADP	26	case
26	cestách	NOUN	20	conj
27	.	PUNCT	18	punct