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:
Nadace Člověk v tísni a Epicentrum v těchto dnech konzultují své představy o přesídlení s odborem pro uprchlíky a Cizineckou policií ministerstva vnitra a ministerstvem zahraničí.
Postion	Tokenization
1	Nadace
2	Člověk
3	v
4	tísni
5	a
6	Epicentrum
7	v
8	těchto
9	dnech
10	konzultují
11	své
12	představy
13	o
14	přesídlení
15	s
16	odborem
17	pro
18	uprchlíky
19	a
20	Cizineckou
21	policií
22	ministerstva
23	vnitra
24	a
25	ministerstvem
26	zahraničí
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nadace	NOUN	10	nsubj
2	Člověk	NOUN	1	nmod
3	v	ADP	4	case
4	tísni	NOUN	2	nmod
5	a	CCONJ	6	cc
6	Epicentrum	NOUN	1	conj
7	v	ADP	9	case
8	těchto	DET	9	det
9	dnech	NOUN	10	obl
10	konzultují	VERB	0	root
11	své	DET	12	det
12	představy	NOUN	10	obj
13	o	ADP	14	case
14	přesídlení	NOUN	12	nmod
15	s	ADP	16	case
16	odborem	NOUN	10	obl:arg
17	pro	ADP	18	case
18	uprchlíky	NOUN	16	nmod
19	a	CCONJ	21	cc
20	Cizineckou	ADJ	21	amod
21	policií	NOUN	16	conj
22	ministerstva	NOUN	16	nmod
23	vnitra	NOUN	22	nmod
24	a	CCONJ	25	cc
25	ministerstvem	NOUN	16	conj
26	zahraničí	NOUN	25	nmod
27	.	PUNCT	10	punct