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:
Francouzský premiér a kandidát na funkci prezidenta Edouard Balladur děkuje svým příznivcům za projevy podpory na shromáždění ve východopařížské čtvrti Nogent-sur-Marne.
Postion	Tokenization
1	Francouzský
2	premiér
3	a
4	kandidát
5	na
6	funkci
7	prezidenta
8	Edouard
9	Balladur
10	děkuje
11	svým
12	příznivcům
13	za
14	projevy
15	podpory
16	na
17	shromáždění
18	ve
19	východopařížské
20	čtvrti
21	Nogent
22	-
23	sur
24	-
25	Marne
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Francouzský	ADJ	2	amod
2	premiér	NOUN	8	nmod
3	a	CCONJ	4	cc
4	kandidát	NOUN	2	conj
5	na	ADP	6	case
6	funkci	NOUN	4	nmod
7	prezidenta	NOUN	6	nmod
8	Edouard	PROPN	10	nsubj
9	Balladur	PROPN	8	flat
10	děkuje	VERB	0	root
11	svým	DET	12	det
12	příznivcům	NOUN	10	obl:arg
13	za	ADP	14	case
14	projevy	NOUN	10	obl:arg
15	podpory	NOUN	14	nmod
16	na	ADP	17	case
17	shromáždění	NOUN	15	nmod
18	ve	ADP	20	case
19	východopařížské	ADJ	20	amod
20	čtvrti	NOUN	17	nmod
21	Nogent	PROPN	23	nmod
22	-	PUNCT	21	punct
23	sur	ADP	20	nmod
24	-	PUNCT	23	punct
25	Marne	PROPN	23	flat:foreign
26	.	PUNCT	10	punct