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:
Policie hledá svědky nehody, při níž řidič autobusu č. 145 srazil 25. 8. kolem 9.20 hod. v Doupovské ul. v Praze 10 cyklistku.
Postion	Tokenization
1	Policie
2	hledá
3	svědky
4	nehody
5	,
6	při
7	níž
8	řidič
9	autobusu
10	č
11	.
12	145
13	srazil
14	25
15	.
16	8
17	.
18	kolem
19	9.20
20	hod
21	.
22	v
23	Doupovské
24	ul
25	.
26	v
27	Praze
28	10
29	cyklistku
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Policie	NOUN	2	nsubj
2	hledá	VERB	0	root
3	svědky	NOUN	2	obj
4	nehody	NOUN	3	nmod
5	,	PUNCT	13	punct
6	při	ADP	7	case
7	níž	PRON	13	obl
8	řidič	NOUN	13	nsubj
9	autobusu	NOUN	8	nmod
10	č	NOUN	9	nmod
11	.	PUNCT	10	punct
12	145	NUM	10	nummod
13	srazil	VERB	4	acl:relcl
14	25	NUM	16	compound
15	.	PUNCT	14	punct
16	8	NUM	13	obl
17	.	PUNCT	16	punct
18	kolem	ADP	20	case
19	9.20	NUM	20	nummod
20	hod	NOUN	13	obl
21	.	PUNCT	20	punct
22	v	ADP	24	case
23	Doupovské	ADJ	24	amod
24	ul	NOUN	13	obl
25	.	PUNCT	24	punct
26	v	ADP	27	case
27	Praze	PROPN	24	nmod
28	10	NUM	27	nummod
29	cyklistku	NOUN	13	obj
30	.	PUNCT	2	punct