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:
Francouz Alain Prost sice v neděli vyhrál svůj padesátý závod formule 1, Velkou cenu Anglie, ale přes úsměv na stupních vítězů jinak příliš spokojen nebyl.
Postion	Tokenization
1	Francouz
2	Alain
3	Prost
4	sice
5	v
6	neděli
7	vyhrál
8	svůj
9	padesátý
10	závod
11	formule
12	1
13	,
14	Velkou
15	cenu
16	Anglie
17	,
18	ale
19	přes
20	úsměv
21	na
22	stupních
23	vítězů
24	jinak
25	příliš
26	spokojen
27	nebyl
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Francouz	PROPN	7	nsubj
2	Alain	PROPN	1	flat
3	Prost	PROPN	1	flat
4	sice	ADV	7	cc
5	v	ADP	6	case
6	neděli	NOUN	7	obl
7	vyhrál	VERB	0	root
8	svůj	DET	10	det
9	padesátý	ADJ	10	amod
10	závod	NOUN	7	obj
11	formule	NOUN	10	nmod
12	1	NUM	11	nummod
13	,	PUNCT	15	punct
14	Velkou	ADJ	15	amod
15	cenu	NOUN	10	appos
16	Anglie	PROPN	15	nmod
17	,	PUNCT	15	punct
18	ale	CCONJ	26	cc
19	přes	ADP	20	case
20	úsměv	NOUN	26	obl
21	na	ADP	22	case
22	stupních	NOUN	26	obl
23	vítězů	NOUN	22	nmod
24	jinak	ADV	26	advmod
25	příliš	ADV	26	advmod
26	spokojen	ADJ	7	conj
27	nebyl	AUX	26	cop
28	.	PUNCT	7	punct