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:
Opět triumfovaly vozy Mitsubishi Pajero (1. Weber, 2. Saby), celkové vedení uhájil Lartigue (Citroen ZX), který byl včera 3. s odstupem 3:47 min za Weberem.
Postion	Tokenization
1	Opět
2	triumfovaly
3	vozy
4	Mitsubishi
5	Pajero
6	(
7	1
8	.
9	Weber
10	,
11	2
12	.
13	Saby
14	)
15	,
16	celkové
17	vedení
18	uhájil
19	Lartigue
20	(
21	Citroen
22	ZX
23	)
24	,
25	který
26	byl
27	včera
28	3
29	.
30	s
31	odstupem
32	3
33	:
34	47
35	min
36	za
37	Weberem
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Opět	ADV	2	advmod
2	triumfovaly	VERB	0	root
3	vozy	NOUN	2	nsubj
4	Mitsubishi	PROPN	3	nmod
5	Pajero	PROPN	4	nmod
6	(	PUNCT	7	punct
7	1	NUM	3	dep
8	.	PUNCT	7	punct
9	Weber	PROPN	7	conj
10	,	PUNCT	11	punct
11	2	NUM	7	conj
12	.	PUNCT	11	punct
13	Saby	PROPN	7	conj
14	)	PUNCT	7	punct
15	,	PUNCT	18	punct
16	celkové	ADJ	17	amod
17	vedení	NOUN	18	obj
18	uhájil	VERB	2	conj
19	Lartigue	PROPN	18	nsubj
20	(	PUNCT	19	punct
21	Citroen	PROPN	19	dep
22	ZX	PROPN	21	nmod
23	)	PUNCT	19	punct
24	,	PUNCT	28	punct
25	který	DET	28	nsubj
26	byl	AUX	28	cop
27	včera	ADV	28	advmod
28	3	NUM	19	acl:relcl
29	.	PUNCT	28	punct
30	s	ADP	31	case
31	odstupem	NOUN	28	obl
32	3	NUM	31	nummod
33	:	PUNCT	34	punct
34	47	NUM	32	conj
35	min	NOUN	34	nmod
36	za	ADP	37	case
37	Weberem	PROPN	31	nmod
38	.	PUNCT	2	punct