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: Chebský starosta Mika včera podle TV Nova řekl, že by na hřbitově ve městě mohly být uloženy ostatky 2000 padlých německých vojáků, které sem byly svezeny z celých severozápadních Čech již v minulém roce.
Position	Tokenization	UPOS	Head	Deprel
1	Chebský	ADJ	2	amod
2	starosta	NOUN	8	nsubj
3	Mika	PROPN	2	flat
4	včera	ADV	8	advmod
5	podle	ADP	6	case
6	TV	NOUN	8	obl
7	Nova	PROPN	6	nmod
8	řekl	VERB	0	root
9	,	PUNCT	16	punct
10	že	SCONJ	16	mark
11	by	AUX	16	aux
12	na	ADP	13	case
13	hřbitově	NOUN	16	obl
14	ve	ADP	15	case
15	městě	NOUN	13	nmod
16	mohly	VERB	8	ccomp
17	být	AUX	18	aux:pass
18	uloženy	ADJ	16	obj
19	ostatky	NOUN	16	nsubj
20	2000	NUM	23	nummod:gov
21	padlých	ADJ	23	amod
22	německých	ADJ	23	amod
23	vojáků	NOUN	19	nmod
24	,	PUNCT	28	punct
25	které	DET	28	nsubj:pass
26	sem	ADV	28	advmod
27	byly	AUX	28	aux:pass
28	svezeny	ADJ	19	amod
29	z	ADP	32	case
30	celých	ADJ	32	amod
31	severozápadních	ADJ	32	amod
32	Čech	PROPN	28	obl
33	již	ADV	36	advmod:emph
34	v	ADP	36	case
35	minulém	ADJ	36	amod
36	roce	NOUN	28	obl
37	.	PUNCT	8	punct