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:
Jiní tím, že nesplňují diskriminující podmínky nebo vinou byrokracie, nevědomosti či nezájmu, se v ČR cizinci stali a jsou pokládáni za imigranty.
Postion	Tokenization
1	Jiní
2	tím
3	,
4	že
5	nesplňují
6	diskriminující
7	podmínky
8	nebo
9	vinou
10	byrokracie
11	,
12	nevědomosti
13	či
14	nezájmu
15	,
16	se
17	v
18	ČR
19	cizinci
20	stali
21	a
22	jsou
23	pokládáni
24	za
25	imigranty
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jiní	ADJ	20	nsubj
2	tím	DET	20	obl
3	,	PUNCT	5	punct
4	že	SCONJ	5	mark
5	nesplňují	VERB	2	acl
6	diskriminující	ADJ	7	amod
7	podmínky	NOUN	5	obj
8	nebo	CCONJ	10	cc
9	vinou	NOUN	10	case
10	byrokracie	NOUN	2	conj
11	,	PUNCT	12	punct
12	nevědomosti	NOUN	10	conj
13	či	CCONJ	14	cc
14	nezájmu	NOUN	10	conj
15	,	PUNCT	2	punct
16	se	PRON	20	expl:pv
17	v	ADP	18	case
18	ČR	PROPN	20	obl
19	cizinci	NOUN	20	obl:arg
20	stali	VERB	0	root
21	a	CCONJ	23	cc
22	jsou	AUX	23	aux:pass
23	pokládáni	ADJ	20	conj
24	za	ADP	25	case
25	imigranty	NOUN	23	obl:arg
26	.	PUNCT	20	punct