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: Zatím měla jasně navrch francouzská stáj, jejíž žluté vozy obsadily v prologu první čtyři místa, zatímco nejlepší Pajero T3, které pilotoval Bruno Saby, dojelo až na 5. místě se ztrátou 38 sekund na vítězný Citroen 2x Rallye - Raid Švéda Waldegaarda.
Position	Tokenization	UPOS	Head	Deprel
1	Zatím	ADV	2	advmod
2	měla	VERB	29	advcl
3	jasně	ADV	4	advmod
4	navrch	ADV	2	advmod
5	francouzská	ADJ	6	amod
6	stáj	NOUN	2	nsubj
7	,	PUNCT	11	punct
8	jejíž	DET	10	det
9	žluté	ADJ	10	amod
10	vozy	NOUN	11	nsubj
11	obsadily	VERB	6	acl:relcl
12	v	ADP	13	case
13	prologu	NOUN	11	obl
14	první	ADJ	16	amod
15	čtyři	NUM	16	nummod
16	místa	NOUN	11	obj
17	,	PUNCT	2	punct
18	zatímco	SCONJ	2	mark
19	nejlepší	ADJ	20	amod
20	Pajero	PROPN	29	nsubj
21	T	NOUN	20	nmod
22	3	NUM	21	nummod
23	,	PUNCT	25	punct
24	které	DET	25	obj
25	pilotoval	VERB	20	acl:relcl
26	Bruno	PROPN	27	nmod
27	Saby	PROPN	25	nmod
28	,	PUNCT	25	punct
29	dojelo	VERB	0	root
30	až	PART	34	advmod:emph
31	na	ADP	34	case
32	5	NUM	34	nummod
33	.	PUNCT	32	punct
34	místě	NOUN	29	obl
35	se	ADP	36	case
36	ztrátou	NOUN	29	obl
37	38	NUM	38	nummod:gov
38	sekund	NOUN	36	nmod
39	na	ADP	41	case
40	vítězný	ADJ	41	amod
41	Citroen	PROPN	36	nmod
42	2	NUM	43	nummod
43	x	SYM	44	nmod
44	Rallye	NOUN	46	nmod
45	-	PUNCT	44	punct
46	Raid	PROPN	41	nmod
47	Švéda	PROPN	46	nmod
48	Waldegaarda	PROPN	47	flat
49	.	PUNCT	29	punct