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:
Nehledě na zraněními zdecimovaný kádr by měl dát jasnou prioritu hokejistům, pro které nejsou pojmy jako profesní a reprezentační čest jen bezobsažnou frází.
Postion	Tokenization
1	Nehledě
2	na
3	zraněními
4	zdecimovaný
5	kádr
6	by
7	měl
8	dát
9	jasnou
10	prioritu
11	hokejistům
12	,
13	pro
14	které
15	nejsou
16	pojmy
17	jako
18	profesní
19	a
20	reprezentační
21	čest
22	jen
23	bezobsažnou
24	frází
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Nehledě	ADP	5	case
2	na	ADP	1	fixed
3	zraněními	NOUN	4	obl
4	zdecimovaný	ADJ	5	amod
5	kádr	NOUN	7	obl
6	by	AUX	7	aux
7	měl	VERB	0	root
8	dát	VERB	7	xcomp
9	jasnou	ADJ	10	amod
10	prioritu	NOUN	8	obj
11	hokejistům	NOUN	8	obl:arg
12	,	PUNCT	24	punct
13	pro	ADP	14	case
14	které	DET	24	obl:arg
15	nejsou	AUX	24	cop
16	pojmy	NOUN	24	nsubj
17	jako	SCONJ	21	mark
18	profesní	ADJ	21	amod
19	a	CCONJ	20	cc
20	reprezentační	ADJ	18	conj
21	čest	NOUN	16	nmod
22	jen	PART	24	advmod:emph
23	bezobsažnou	ADJ	24	amod
24	frází	NOUN	11	acl:relcl
25	.	PUNCT	7	punct