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 text: Čtvrtou etapu Rallye Paříž -Kapské Město, dlouhou 520 km s cílem v městě Tumu, stále ještě na území Libye, vyhrál Francouz Hubert Auriol na voze Micubiši a postoupil tak do čela celkové klasifikace.
Position	Tokenization	UPOS	Head	Deprel
1	Čtvrtou	ADJ	2	amod
2	etapu	NOUN	24	obj
3	Rallye	NOUN	2	nmod
4	Paříž	PROPN	3	nmod
5	-	PUNCT	7	punct
6	Kapské	ADJ	7	amod
7	Město	NOUN	4	conj
8	,	PUNCT	9	punct
9	dlouhou	ADJ	2	amod
10	520	NUM	9	obl
11	km	NOUN	10	nmod
12	s	ADP	13	case
13	cílem	NOUN	2	nmod
14	v	ADP	15	case
15	městě	NOUN	13	nmod
16	Tumu	PROPN	15	nmod
17	,	PUNCT	16	punct
18	stále	ADV	16	dep
19	ještě	ADV	16	dep
20	na	ADP	21	case
21	území	NOUN	16	dep
22	Libye	PROPN	21	nmod
23	,	PUNCT	16	punct
24	vyhrál	VERB	0	root
25	Francouz	PROPN	24	nsubj
26	Hubert	PROPN	25	flat
27	Auriol	PROPN	25	flat
28	na	ADP	29	case
29	voze	NOUN	24	obl
30	Micubiši	PROPN	29	nmod
31	a	CCONJ	32	cc
32	postoupil	VERB	24	conj
33	tak	ADV	32	advmod
34	do	ADP	35	case
35	čela	NOUN	32	obl
36	celkové	ADJ	37	amod
37	klasifikace	NOUN	35	nmod
38	.	PUNCT	24	punct