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:
Stínem dvě nezaviněná zranění - odstoupit museli chebský Weber (klíční kost) a hostující F. Veselý už ve 20. minutě - pět stehů na hlavě.
Postion	Tokenization
1	Stínem
2	dvě
3	nezaviněná
4	zranění
5	-
6	odstoupit
7	museli
8	chebský
9	Weber
10	(
11	klíční
12	kost
13	)
14	a
15	hostující
16	F
17	.
18	Veselý
19	už
20	ve
21	20
22	.
23	minutě
24	-
25	pět
26	stehů
27	na
28	hlavě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Stínem	NOUN	0	root
2	dvě	NUM	4	nummod
3	nezaviněná	ADJ	4	amod
4	zranění	NOUN	1	appos
5	-	PUNCT	4	punct
6	odstoupit	VERB	7	xcomp
7	museli	VERB	1	appos
8	chebský	ADJ	9	amod
9	Weber	PROPN	7	nsubj
10	(	PUNCT	9	punct
11	klíční	ADJ	12	amod
12	kost	NOUN	9	dep
13	)	PUNCT	9	punct
14	a	CCONJ	16	cc
15	hostující	ADJ	16	amod
16	F	PROPN	9	conj
17	.	PUNCT	16	punct
18	Veselý	PROPN	16	flat
19	už	ADV	23	advmod:emph
20	ve	ADP	23	case
21	20	NUM	23	nummod
22	.	PUNCT	21	punct
23	minutě	NOUN	16	dep
24	-	PUNCT	16	punct
25	pět	NUM	26	nummod:gov
26	stehů	NOUN	16	dep
27	na	ADP	28	case
28	hlavě	NOUN	26	nmod
29	.	PUNCT	1	punct