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: V Paříži včera lilo jako z konve, a tak se k náměstí Trocadero, kde byla naproti Eiffelově věži vystavena soutěžní vozidla chystající se na Rallye Paříž - Moskva - Peking, přišli podívat jen největší fandové nebo náhodní zvědavci vybaveni deštníky a pláštěnkami.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Paříži	PROPN	4	obl
3	včera	ADV	4	advmod
4	lilo	VERB	0	root
5	jako	SCONJ	7	mark
6	z	ADP	7	case
7	konve	NOUN	4	dep
8	,	PUNCT	34	punct
9	a	CCONJ	34	cc
10	tak	ADV	34	cc
11	se	PRON	35	expl:pv
12	k	ADP	13	case
13	náměstí	NOUN	34	obl
14	Trocadero	PROPN	13	nmod
15	,	PUNCT	21	punct
16	kde	ADV	21	advmod
17	byla	AUX	21	aux:pass
18	naproti	ADP	20	case
19	Eiffelově	ADJ	20	amod
20	věži	NOUN	21	obl
21	vystavena	ADJ	13	amod
22	soutěžní	ADJ	23	amod
23	vozidla	NOUN	21	nsubj:pass
24	chystající	ADJ	23	amod
25	se	PRON	24	expl:pv
26	na	ADP	27	case
27	Rallye	NOUN	24	obl:arg
28	Paříž	PROPN	27	nmod
29	-	PUNCT	30	punct
30	Moskva	PROPN	28	conj
31	-	PUNCT	32	punct
32	Peking	PROPN	28	conj
33	,	PUNCT	21	punct
34	přišli	VERB	4	conj
35	podívat	VERB	34	csubj
36	jen	PART	38	advmod:emph
37	největší	ADJ	38	amod
38	fandové	NOUN	34	nsubj
39	nebo	CCONJ	41	cc
40	náhodní	ADJ	41	amod
41	zvědavci	NOUN	38	conj
42	vybaveni	ADJ	41	amod
43	deštníky	NOUN	42	obl
44	a	CCONJ	45	cc
45	pláštěnkami	NOUN	43	conj
46	.	PUNCT	4	punct