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:
Loňský zákon o bankrotech přivedl k úpadku pouze tři desítky podniků, zatímco v platební neschopnosti jsou jich tisíce, upozorňuje francouzský týdeník.
Postion	Tokenization
1	Loňský
2	zákon
3	o
4	bankrotech
5	přivedl
6	k
7	úpadku
8	pouze
9	tři
10	desítky
11	podniků
12	,
13	zatímco
14	v
15	platební
16	neschopnosti
17	jsou
18	jich
19	tisíce
20	,
21	upozorňuje
22	francouzský
23	týdeník
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Loňský	ADJ	2	amod
2	zákon	NOUN	5	nsubj
3	o	ADP	4	case
4	bankrotech	NOUN	2	nmod
5	přivedl	VERB	21	ccomp
6	k	ADP	7	case
7	úpadku	NOUN	5	obl
8	pouze	ADV	9	advmod:emph
9	tři	NUM	10	nummod
10	desítky	NOUN	5	obj
11	podniků	NOUN	10	nmod
12	,	PUNCT	17	punct
13	zatímco	SCONJ	17	mark
14	v	ADP	16	case
15	platební	ADJ	16	amod
16	neschopnosti	NOUN	17	obl
17	jsou	VERB	5	advcl
18	jich	PRON	19	nmod
19	tisíce	NOUN	17	nsubj
20	,	PUNCT	5	punct
21	upozorňuje	VERB	0	root
22	francouzský	ADJ	23	amod
23	týdeník	NOUN	21	nsubj
24	.	PUNCT	21	punct