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:
Vítězství stoupenců těsnějšího propojení Evropy ve francouzském referendu o maastrichtské smlouvě o Evropské unii bylo v bruselském sídle ES přijato s očividným uspokojením, nikoliv však euforií.
Postion	Tokenization
1	Vítězství
2	stoupenců
3	těsnějšího
4	propojení
5	Evropy
6	ve
7	francouzském
8	referendu
9	o
10	maastrichtské
11	smlouvě
12	o
13	Evropské
14	unii
15	bylo
16	v
17	bruselském
18	sídle
19	ES
20	přijato
21	s
22	očividným
23	uspokojením
24	,
25	nikoliv
26	však
27	euforií
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vítězství	NOUN	20	nsubj:pass
2	stoupenců	NOUN	1	nmod
3	těsnějšího	ADJ	4	amod
4	propojení	NOUN	2	nmod
5	Evropy	PROPN	4	nmod
6	ve	ADP	8	case
7	francouzském	ADJ	8	amod
8	referendu	NOUN	1	nmod
9	o	ADP	11	case
10	maastrichtské	ADJ	11	amod
11	smlouvě	NOUN	8	nmod
12	o	ADP	14	case
13	Evropské	ADJ	14	amod
14	unii	NOUN	11	nmod
15	bylo	AUX	20	aux:pass
16	v	ADP	18	case
17	bruselském	ADJ	18	amod
18	sídle	NOUN	20	obl
19	ES	PROPN	18	nmod
20	přijato	ADJ	0	root
21	s	ADP	23	case
22	očividným	ADJ	23	amod
23	uspokojením	NOUN	20	obl
24	,	PUNCT	27	punct
25	nikoliv	ADV	27	advmod:emph
26	však	CCONJ	27	cc
27	euforií	NOUN	23	conj
28	.	PUNCT	20	punct