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:
Snímky, které natočil pražský dokumentarista Pavel Hubenka, ukazují na příkladech vliv důsledků drastického poddolování karvinských oblastí na stav tamní přírody a návrhy na vyřešení tohoto problému.
Postion	Tokenization
1	Snímky
2	,
3	které
4	natočil
5	pražský
6	dokumentarista
7	Pavel
8	Hubenka
9	,
10	ukazují
11	na
12	příkladech
13	vliv
14	důsledků
15	drastického
16	poddolování
17	karvinských
18	oblastí
19	na
20	stav
21	tamní
22	přírody
23	a
24	návrhy
25	na
26	vyřešení
27	tohoto
28	problému
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Snímky	NOUN	10	nsubj
2	,	PUNCT	4	punct
3	které	DET	4	obj
4	natočil	VERB	1	acl:relcl
5	pražský	ADJ	6	amod
6	dokumentarista	NOUN	4	nsubj
7	Pavel	PROPN	6	flat
8	Hubenka	PROPN	6	flat
9	,	PUNCT	4	punct
10	ukazují	VERB	0	root
11	na	ADP	12	case
12	příkladech	NOUN	10	obl
13	vliv	NOUN	10	obj
14	důsledků	NOUN	13	nmod
15	drastického	ADJ	16	amod
16	poddolování	NOUN	14	nmod
17	karvinských	ADJ	18	amod
18	oblastí	NOUN	16	nmod
19	na	ADP	20	case
20	stav	NOUN	13	nmod
21	tamní	ADJ	22	amod
22	přírody	NOUN	20	nmod
23	a	CCONJ	24	cc
24	návrhy	NOUN	13	conj
25	na	ADP	26	case
26	vyřešení	NOUN	24	nmod
27	tohoto	DET	28	det
28	problému	NOUN	26	nmod
29	.	PUNCT	10	punct