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:
Ne náhodou diskutovala česká vláda v polovině srpna koncepci státní politiky ochrany životního prostředí, ne náhodou se v Praze koncem srpna sešel kongres Mezinárodní unie geografů zhruba nad stejným tématem.
Postion	Tokenization
1	Ne
2	náhodou
3	diskutovala
4	česká
5	vláda
6	v
7	polovině
8	srpna
9	koncepci
10	státní
11	politiky
12	ochrany
13	životního
14	prostředí
15	,
16	ne
17	náhodou
18	se
19	v
20	Praze
21	koncem
22	srpna
23	sešel
24	kongres
25	Mezinárodní
26	unie
27	geografů
28	zhruba
29	nad
30	stejným
31	tématem
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ne	PART	2	advmod:emph
2	náhodou	ADV	3	advmod
3	diskutovala	VERB	0	root
4	česká	ADJ	5	amod
5	vláda	NOUN	3	nsubj
6	v	ADP	7	case
7	polovině	NOUN	3	obl
8	srpna	NOUN	7	nmod
9	koncepci	NOUN	3	obj
10	státní	ADJ	11	amod
11	politiky	NOUN	9	nmod
12	ochrany	NOUN	11	nmod
13	životního	ADJ	14	amod
14	prostředí	NOUN	12	nmod
15	,	PUNCT	23	punct
16	ne	PART	17	advmod:emph
17	náhodou	ADV	23	advmod
18	se	PRON	23	expl:pv
19	v	ADP	20	case
20	Praze	PROPN	23	obl
21	koncem	NOUN	22	case
22	srpna	NOUN	23	obl
23	sešel	VERB	3	conj
24	kongres	NOUN	23	nsubj
25	Mezinárodní	ADJ	26	amod
26	unie	NOUN	24	nmod
27	geografů	NOUN	26	nmod
28	zhruba	ADV	31	advmod:emph
29	nad	ADP	31	case
30	stejným	ADJ	31	amod
31	tématem	NOUN	23	obl
32	.	PUNCT	3	punct