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:
Před sezónou nás posílili tři zkušení hráči, mezi nimi i Wally Schreiber, který byl loni nejlepším střelcem ligy a hrál i v kanadské reprezentaci.
Postion	Tokenization
1	Před
2	sezónou
3	nás
4	posílili
5	tři
6	zkušení
7	hráči
8	_
9	,
10	mezi
11	nimi
12	i
13	Wally
14	Schreiber
15	,
16	který
17	byl
18	loni
19	nejlepším
20	střelcem
21	ligy
22	a
23	hrál
24	i
25	v
26	kanadské
27	reprezentaci
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	2	case
2	sezónou	NOUN	4	obl
3	nás	PRON	4	obj
4	posílili	VERB	0	root
5	tři	NUM	7	nummod
6	zkušení	NOUN	7	nmod
7	hráči	NOUN	4	nsubj
8	_	_	None	_
9	,	PUNCT	10	punct
10	mezi	ADP	10	case
11	nimi	PRON	4	conj
12	i	CCONJ	12	advmod:emph
13	Wally	PROPN	10	orphan
14	Schreiber	PROPN	12	flat
15	,	PUNCT	19	punct
16	který	DET	19	nsubj
17	byl	AUX	19	cop
18	loni	ADV	19	advmod
19	nejlepším	ADJ	19	amod
20	střelcem	NOUN	12	acl:relcl
21	ligy	NOUN	19	nmod
22	a	CCONJ	22	cc
23	hrál	VERB	19	conj
24	i	CCONJ	26	advmod:emph
25	v	ADP	26	case
26	kanadské	ADJ	26	amod
27	reprezentaci	NOUN	22	obl
28	.	PUNCT	4	punct