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:
Zdá se, že fakt, že většinu obyvatel Ulsteru tvoří protestanté, kteří si přejí i nadále setrvat ve svazku s Británií, Američané nevnímají.
Postion	Tokenization
1	Zdá
2	se
3	,
4	že
5	fakt
6	,
7	že
8	většinu
9	obyvatel
10	Ulsteru
11	tvoří
12	protestanté
13	,
14	kteří
15	si
16	přejí
17	i
18	nadále
19	setrvat
20	ve
21	svazku
22	s
23	Británií
24	,
25	Američané
26	nevnímají
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdá	VERB	0	root
2	se	PRON	1	expl:pv
3	,	PUNCT	26	punct
4	že	SCONJ	26	mark
5	fakt	NOUN	26	obj
6	,	PUNCT	11	punct
7	že	SCONJ	11	mark
8	většinu	NOUN	11	obj
9	obyvatel	NOUN	8	nmod
10	Ulsteru	PROPN	9	nmod
11	tvoří	VERB	5	acl
12	protestanté	NOUN	11	nsubj
13	,	PUNCT	16	punct
14	kteří	DET	16	nsubj
15	si	PRON	16	expl:pv
16	přejí	VERB	12	acl:relcl
17	i	CCONJ	18	advmod:emph
18	nadále	ADV	19	advmod
19	setrvat	VERB	16	xcomp
20	ve	ADP	21	case
21	svazku	NOUN	19	obl
22	s	ADP	23	case
23	Británií	PROPN	21	nmod
24	,	PUNCT	11	punct
25	Američané	PROPN	26	nsubj
26	nevnímají	VERB	1	csubj
27	.	PUNCT	1	punct