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:
"Chtěl bych vyhrát třídu a nasbírat zkušenosti, abych za rok vyhrál alespoň mezi cestovními automobily," shrnul stručně svůj cíl A. Charouz.
Postion	Tokenization
1	"
2	Chtěl
3	bych
4	vyhrát
5	třídu
6	a
7	nasbírat
8	zkušenosti
9	,
10	abych
11	aby
12	bych
13	za
14	rok
15	vyhrál
16	alespoň
17	mezi
18	cestovními
19	automobily
20	,
21	"
22	shrnul
23	stručně
24	svůj
25	cíl
26	A
27	.
28	Charouz
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Chtěl	VERB	21	ccomp
3	bych	AUX	2	aux
4	vyhrát	VERB	2	xcomp
5	třídu	NOUN	4	obj
6	a	CCONJ	7	cc
7	nasbírat	VERB	4	conj
8	zkušenosti	NOUN	7	obj
9	,	PUNCT	14	punct
10	abych	_	None	_
11	aby	SCONJ	14	mark
12	bych	AUX	14	aux
13	za	ADP	13	case
14	rok	NOUN	14	obl
15	vyhrál	VERB	7	advcl
16	alespoň	ADV	18	advmod:emph
17	mezi	ADP	18	case
18	cestovními	ADJ	18	amod
19	automobily	NOUN	14	obl
20	,	PUNCT	2	punct
21	"	PUNCT	2	punct
22	shrnul	VERB	0	root
23	stručně	ADV	21	advmod
24	svůj	DET	24	det
25	cíl	NOUN	21	iobj
26	A	PROPN	21	nsubj
27	.	PUNCT	25	punct
28	Charouz	PROPN	25	flat
29	.	PUNCT	21	punct