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: Pondělní 416 km dlouhou etapu Rallye Paříž - Moskva - Peking ze Shanshanu do Hami vyhrály dva vozy Mitsubishi Pajero (1. Saby, 2. Weber), spokojenost však panovala spíše v týmu Citroen.
Position	Tokenization	UPOS	Head	Deprel
1	Pondělní	ADJ	5	amod
2	416	NUM	4	obl
3	km	NOUN	2	nmod
4	dlouhou	ADJ	5	amod
5	etapu	NOUN	16	obj
6	Rallye	NOUN	5	nmod
7	Paříž	PROPN	6	nmod
8	-	PUNCT	9	punct
9	Moskva	PROPN	7	conj
10	-	PUNCT	11	punct
11	Peking	PROPN	7	conj
12	ze	ADP	13	case
13	Shanshanu	PROPN	5	nmod
14	do	ADP	15	case
15	Hami	PROPN	5	nmod
16	vyhrály	VERB	0	root
17	dva	NUM	18	nummod
18	vozy	NOUN	16	nsubj
19	Mitsubishi	PROPN	18	nmod
20	Pajero	PROPN	19	nmod
21	(	PUNCT	22	punct
22	1	NUM	16	dep
23	.	PUNCT	22	punct
24	Saby	PROPN	22	conj
25	,	PUNCT	26	punct
26	2	NUM	22	conj
27	.	PUNCT	26	punct
28	Weber	PROPN	22	conj
29	)	PUNCT	22	punct
30	,	PUNCT	33	punct
31	spokojenost	NOUN	33	nsubj
32	však	CCONJ	33	cc
33	panovala	VERB	16	conj
34	spíše	ADV	36	advmod:emph
35	v	ADP	36	case
36	týmu	NOUN	33	obl
37	Citroen	PROPN	36	nmod
38	.	PUNCT	16	punct