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 text: Nezanedbatelná část lidí, kteří opustí Škodovku (kromě 1300 čerstvě uvolňovaných je to ještě 800 pracovníků exekutivy a služeb, o jejichž odchodech se rozhodlo už v závěru července) totiž má nárok na předčasný důchod.
Position	Tokenization	UPOS	Head	Deprel
1	Nezanedbatelná	ADJ	2	amod
2	část	NOUN	33	nsubj
3	lidí	NOUN	2	nmod
4	,	PUNCT	6	punct
5	kteří	DET	6	nsubj
6	opustí	VERB	3	acl:relcl
7	Škodovku	NOUN	6	obj
8	(	PUNCT	14	punct
9	kromě	ADP	10	case
10	1300	NUM	14	obl
11	čerstvě	ADV	12	advmod
12	uvolňovaných	ADJ	10	amod
13	je	AUX	14	cop
14	to	DET	6	parataxis
15	ještě	ADV	16	advmod:emph
16	800	NUM	17	nummod:gov
17	pracovníků	NOUN	14	nsubj
18	exekutivy	NOUN	17	nmod
19	a	CCONJ	20	cc
20	služeb	NOUN	18	conj
21	,	PUNCT	26	punct
22	o	ADP	24	case
23	jejichž	DET	24	det
24	odchodech	NOUN	26	obl:arg
25	se	PRON	26	expl:pass
26	rozhodlo	VERB	16	acl:relcl
27	už	ADV	29	advmod:emph
28	v	ADP	29	case
29	závěru	NOUN	26	obl
30	července	NOUN	29	nmod
31	)	PUNCT	14	punct
32	totiž	ADV	33	advmod
33	má	VERB	0	root
34	nárok	NOUN	33	obj
35	na	ADP	37	case
36	předčasný	ADJ	37	amod
37	důchod	NOUN	34	nmod
38	.	PUNCT	33	punct