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:
Zatímco ve Francii je před referendem cítit značné napětí, v těch zemích, kde schválení Maastrichtu bylo nebo bude vloženo na bedra parlamentu, je situace zdánlivě jednoznačnější.
Postion	Tokenization
1	Zatímco
2	ve
3	Francii
4	je
5	před
6	referendem
7	cítit
8	značné
9	napětí
10	,
11	v
12	těch
13	zemích
14	,
15	kde
16	schválení
17	Maastrichtu
18	bylo
19	nebo
20	bude
21	vloženo
22	na
23	bedra
24	parlamentu
25	,
26	je
27	situace
28	zdánlivě
29	jednoznačnější
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	4	mark
2	ve	ADP	3	case
3	Francii	PROPN	4	obl
4	je	VERB	29	advcl
5	před	ADP	6	case
6	referendem	NOUN	4	obl
7	cítit	VERB	4	csubj
8	značné	ADJ	9	amod
9	napětí	NOUN	7	obj
10	,	PUNCT	4	punct
11	v	ADP	13	case
12	těch	DET	13	det
13	zemích	NOUN	29	obl
14	,	PUNCT	21	punct
15	kde	ADV	21	advmod
16	schválení	NOUN	21	nsubj:pass
17	Maastrichtu	NOUN	16	nmod
18	bylo	AUX	21	aux
19	nebo	CCONJ	20	cc
20	bude	AUX	18	conj
21	vloženo	ADJ	13	amod
22	na	ADP	23	case
23	bedra	NOUN	21	obl
24	parlamentu	NOUN	23	nmod
25	,	PUNCT	21	punct
26	je	AUX	29	cop
27	situace	NOUN	29	nsubj
28	zdánlivě	ADV	29	advmod
29	jednoznačnější	ADJ	0	root
30	.	PUNCT	29	punct