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:
"Němci špatně stříleli, Wislander byl poloviční," skromně poznamenal po zápase Slabý, i když především jeho zásluhou si obávaný střelec soupeře udělal první čárku až těsně před přestávkou.
Postion	Tokenization
1	"
2	Němci
3	špatně
4	stříleli
5	,
6	Wislander
7	byl
8	poloviční
9	,
10	"
11	skromně
12	poznamenal
13	po
14	zápase
15	Slabý
16	,
17	i
18	když
19	především
20	jeho
21	zásluhou
22	si
23	obávaný
24	střelec
25	soupeře
26	udělal
27	první
28	čárku
29	až
30	těsně
31	před
32	přestávkou
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Němci	PROPN	4	nsubj
3	špatně	ADV	4	advmod
4	stříleli	VERB	12	ccomp
5	,	PUNCT	8	punct
6	Wislander	PROPN	8	nsubj
7	byl	AUX	8	cop
8	poloviční	ADJ	4	conj
9	,	PUNCT	4	punct
10	"	PUNCT	4	punct
11	skromně	ADV	12	advmod
12	poznamenal	VERB	0	root
13	po	ADP	14	case
14	zápase	NOUN	12	obl
15	Slabý	PROPN	12	nsubj
16	,	PUNCT	26	punct
17	i	CCONJ	26	mark
18	když	SCONJ	17	fixed
19	především	ADV	21	advmod:emph
20	jeho	DET	21	det
21	zásluhou	NOUN	26	obl
22	si	PRON	26	obl:arg
23	obávaný	ADJ	24	amod
24	střelec	NOUN	26	nsubj
25	soupeře	NOUN	24	nmod
26	udělal	VERB	12	advcl
27	první	ADJ	28	amod
28	čárku	NOUN	26	obj
29	až	PART	32	advmod:emph
30	těsně	ADV	26	advmod
31	před	ADP	32	case
32	přestávkou	NOUN	30	obl
33	.	PUNCT	12	punct