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 Českých Velenicích sice provádějí rekonstrukci jejich interiérů, do té však není zahrnut podvozek, u nějž se nadále počítá pouze s rychlostí do 160 km/hod., zatímco v zahraničí je požadavek na rychlosti do 200 km/hod.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	Českých	ADJ	3	amod
3	Velenicích	PROPN	5	obl
4	sice	ADV	5	cc
5	provádějí	VERB	0	root
6	rekonstrukci	NOUN	5	obj
7	jejich	DET	8	det
8	interiérů	NOUN	6	nmod
9	,	PUNCT	14	punct
10	do	ADP	11	case
11	té	DET	14	obl
12	však	CCONJ	14	cc
13	není	AUX	14	cop
14	zahrnut	ADJ	5	conj
15	podvozek	NOUN	14	nsubj
16	,	PUNCT	21	punct
17	u	ADP	18	case
18	nějž	PRON	21	obl
19	se	PRON	21	expl:pass
20	nadále	ADV	21	advmod
21	počítá	VERB	15	acl:relcl
22	pouze	ADV	24	advmod:emph
23	s	ADP	24	case
24	rychlostí	NOUN	21	obl:arg
25	do	ADP	27	case
26	160	NUM	27	nummod
27	km	NOUN	24	nmod
28	/	PUNCT	29	punct
29	hod	NOUN	27	nmod
30	.	PUNCT	29	punct
31	,	PUNCT	35	punct
32	zatímco	SCONJ	35	mark
33	v	ADP	34	case
34	zahraničí	NOUN	35	obl
35	je	VERB	21	advcl
36	požadavek	NOUN	35	nsubj
37	na	ADP	38	case
38	rychlosti	NOUN	36	nmod
39	do	ADP	41	case
40	200	NUM	41	nummod
41	km	NOUN	38	nmod
42	/	PUNCT	43	punct
43	hod	NOUN	41	nmod
44	.	PUNCT	5	punct