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:
Celek i jednotlivé situace charakterizují lehkost a esprit místy přímo francouzský, byť zejména v první půlce poněkud pokulhává jejich přesné pointování, dramatizací přitom nabízené.
Postion	Tokenization
1	Celek
2	i
3	jednotlivé
4	situace
5	charakterizují
6	lehkost
7	a
8	esprit
9	místy
10	přímo
11	francouzský
12	,
13	byť
14	zejména
15	v
16	první
17	půlce
18	poněkud
19	pokulhává
20	jejich
21	přesné
22	pointování
23	,
24	dramatizací
25	přitom
26	nabízené
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Celek	NOUN	5	obj
2	i	CCONJ	4	cc
3	jednotlivé	ADJ	4	amod
4	situace	NOUN	1	conj
5	charakterizují	VERB	0	root
6	lehkost	NOUN	5	nsubj
7	a	CCONJ	8	cc
8	esprit	NOUN	6	conj
9	místy	ADV	11	case
10	přímo	ADV	11	advmod
11	francouzský	ADJ	8	amod
12	,	PUNCT	19	punct
13	byť	SCONJ	19	mark
14	zejména	ADV	17	advmod:emph
15	v	ADP	17	case
16	první	ADJ	17	amod
17	půlce	NOUN	19	obl
18	poněkud	ADV	19	advmod
19	pokulhává	VERB	5	advcl
20	jejich	DET	22	det
21	přesné	ADJ	22	amod
22	pointování	NOUN	19	nsubj
23	,	PUNCT	26	punct
24	dramatizací	NOUN	26	obl
25	přitom	ADV	26	advmod
26	nabízené	ADJ	22	amod
27	.	PUNCT	5	punct