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:
To si jeden ze střelců počínal tak obratně, že zasáhl cyklistku- důchodkyni do předloktí a zranění si vyžádá dvoutýdenní léčení, řekl LN tiskový mluvčí Karel Hampl.
Postion	Tokenization
1	To
2	si
3	jeden
4	ze
5	střelců
6	počínal
7	tak
8	obratně
9	,
10	že
11	zasáhl
12	cyklistku
13	-
14	důchodkyni
15	do
16	předloktí
17	a
18	zranění
19	si
20	vyžádá
21	dvoutýdenní
22	léčení
23	,
24	řekl
25	LN
26	tiskový
27	mluvčí
28	Karel
29	Hampl
30	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	6	discourse
2	si	PRON	6	expl:pv
3	jeden	NUM	6	nsubj
4	ze	ADP	5	case
5	střelců	NOUN	3	nmod
6	počínal	VERB	24	ccomp
7	tak	ADV	8	advmod
8	obratně	ADV	6	advmod
9	,	PUNCT	11	punct
10	že	SCONJ	11	mark
11	zasáhl	VERB	6	advcl
12	cyklistku	NOUN	11	obj
13	-	PUNCT	14	punct
14	důchodkyni	NOUN	12	appos
15	do	ADP	16	case
16	předloktí	NOUN	11	obl
17	a	CCONJ	20	cc
18	zranění	NOUN	20	nsubj
19	si	PRON	20	expl:pv
20	vyžádá	VERB	11	conj
21	dvoutýdenní	ADJ	22	amod
22	léčení	NOUN	20	obj
23	,	PUNCT	6	punct
24	řekl	VERB	0	root
25	LN	PROPN	24	iobj
26	tiskový	ADJ	27	amod
27	mluvčí	NOUN	24	nsubj
28	Karel	PROPN	27	flat
29	Hampl	PROPN	27	flat
30	.	PUNCT	24	punct