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:
Jiří Nevrlý rezignoval pro názorové neshody s ředitelem Zdeňkem Benešem na funkci manažera Hradce Králové, kterou tak vykonával jen necelé dva měsíce.
Postion	Tokenization
1	Jiří
2	Nevrlý
3	rezignoval
4	pro
5	názorové
6	neshody
7	s
8	ředitelem
9	Zdeňkem
10	Benešem
11	na
12	funkci
13	manažera
14	Hradce
15	Králové
16	,
17	kterou
18	tak
19	vykonával
20	jen
21	necelé
22	dva
23	měsíce
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Jiří	PROPN	3	nsubj
2	Nevrlý	PROPN	1	flat
3	rezignoval	VERB	0	root
4	pro	ADP	6	case
5	názorové	ADJ	6	amod
6	neshody	NOUN	3	obl
7	s	ADP	8	case
8	ředitelem	NOUN	6	nmod
9	Zdeňkem	PROPN	8	flat
10	Benešem	PROPN	8	flat
11	na	ADP	12	case
12	funkci	NOUN	3	obl:arg
13	manažera	NOUN	12	nmod
14	Hradce	PROPN	13	nmod
15	Králové	PROPN	14	nmod
16	,	PUNCT	19	punct
17	kterou	DET	19	obj
18	tak	ADV	19	advmod
19	vykonával	VERB	12	acl:relcl
20	jen	PART	23	cc
21	necelé	ADJ	23	amod
22	dva	NUM	23	nummod
23	měsíce	NOUN	19	obl
24	.	PUNCT	3	punct