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: "Charlie (Pasqua) má blíž k vyhazovu než k Matignonskému paláci," napsal list s narážkou na Pasquovu představu, že v případě Balladurova prezidentského vítězství zasedne sám do křesla předsedy vlády.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Charlie	PROPN	6	nsubj
3	(	PUNCT	4	punct
4	Pasqua	PROPN	2	flat
5	)	PUNCT	4	punct
6	má	VERB	16	ccomp
7	blíž	ADV	6	obj
8	k	ADP	9	case
9	vyhazovu	NOUN	6	obl
10	než	SCONJ	13	mark
11	k	ADP	13	case
12	Matignonskému	ADJ	13	amod
13	paláci	NOUN	7	dep
14	,	PUNCT	6	punct
15	"	PUNCT	6	punct
16	napsal	VERB	0	root
17	list	NOUN	16	nsubj
18	s	ADP	19	case
19	narážkou	NOUN	16	obl
20	na	ADP	22	case
21	Pasquovu	ADJ	22	amod
22	představu	NOUN	19	nmod
23	,	PUNCT	30	punct
24	že	SCONJ	30	mark
25	v	ADP	29	case
26	případě	NOUN	25	fixed
27	Balladurova	ADJ	29	amod
28	prezidentského	ADJ	29	amod
29	vítězství	NOUN	30	obl
30	zasedne	VERB	22	acl
31	sám	DET	30	xcomp
32	do	ADP	33	case
33	křesla	NOUN	30	obl
34	předsedy	NOUN	33	nmod
35	vlády	NOUN	34	nmod
36	.	PUNCT	16	punct