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: V dokumentu, který experti vypracovali, se zdůrazňuje, že tak vysoké ztráty na životech především civilního obyvatelstva Čečenska je možné srovnat pouze s poměrem ztrát v Polsku za druhé světové války, kde civilní obyvatelstvo také tvořilo extrémní podíl.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	dokumentu	NOUN	9	obl
3	,	PUNCT	6	punct
4	který	DET	6	obj
5	experti	NOUN	6	nsubj
6	vypracovali	VERB	2	acl:relcl
7	,	PUNCT	6	punct
8	se	PRON	9	expl:pass
9	zdůrazňuje	VERB	0	root
10	,	PUNCT	22	punct
11	že	SCONJ	22	mark
12	tak	ADV	13	advmod
13	vysoké	ADJ	14	amod
14	ztráty	NOUN	23	obj
15	na	ADP	16	case
16	životech	NOUN	14	nmod
17	především	ADV	19	advmod:emph
18	civilního	ADJ	19	amod
19	obyvatelstva	NOUN	16	nmod
20	Čečenska	PROPN	19	nmod
21	je	AUX	22	cop
22	možné	ADJ	9	csubj:pass
23	srovnat	VERB	22	csubj
24	pouze	ADV	26	advmod:emph
25	s	ADP	26	case
26	poměrem	NOUN	23	obl:arg
27	ztrát	NOUN	26	nmod
28	v	ADP	29	case
29	Polsku	PROPN	27	nmod
30	za	ADP	33	case
31	druhé	ADJ	33	amod
32	světové	ADJ	33	amod
33	války	NOUN	27	nmod
34	,	PUNCT	39	punct
35	kde	ADV	39	advmod
36	civilní	ADJ	37	amod
37	obyvatelstvo	NOUN	39	nsubj
38	také	ADV	39	advmod
39	tvořilo	VERB	33	acl:relcl
40	extrémní	ADJ	41	amod
41	podíl	NOUN	39	obj
42	.	PUNCT	9	punct