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: Tři muže, kteří se pokoušeli krást měděné dráty u železniční tratě blízko pařížského předměstí Evry, včera usmrtil nový, tichý druh vlaku, jedoucí rychlostí zhruba 80 kilometrů v hodině.
Position	Tokenization	UPOS	Head	Deprel
1	Tři	NUM	2	nummod
2	muže	NOUN	19	obj
3	,	PUNCT	6	punct
4	kteří	DET	6	nsubj
5	se	PRON	6	expl:pv
6	pokoušeli	VERB	2	acl:relcl
7	krást	VERB	6	xcomp
8	měděné	ADJ	9	amod
9	dráty	NOUN	7	obj
10	u	ADP	12	case
11	železniční	ADJ	12	amod
12	tratě	NOUN	7	obl
13	blízko	ADV	15	case
14	pařížského	ADJ	15	amod
15	předměstí	NOUN	12	nmod
16	Evry	PROPN	15	nmod
17	,	PUNCT	6	punct
18	včera	ADV	19	advmod
19	usmrtil	VERB	0	root
20	nový	ADJ	23	amod
21	,	PUNCT	22	punct
22	tichý	ADJ	20	conj
23	druh	NOUN	19	nsubj
24	vlaku	NOUN	23	nmod
25	,	PUNCT	26	punct
26	jedoucí	ADJ	23	amod
27	rychlostí	NOUN	26	obl
28	zhruba	ADV	29	advmod:emph
29	80	NUM	30	nummod:gov
30	kilometrů	NOUN	27	nmod
31	v	ADP	32	case
32	hodině	NOUN	30	nmod
33	.	PUNCT	19	punct