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:
Podle francouzského novináře Philippa Alexandra se Mitterrand jen snaží odhalit věci dříve, než by tak učinili jiní po jeho odchodu z výsluní politického života, a předejít tak větší ostudě.
Postion	Tokenization
1	Podle
2	francouzského
3	novináře
4	Philippa
5	Alexandra
6	se
7	Mitterrand
8	jen
9	snaží
10	odhalit
11	věci
12	dříve
13	,
14	než
15	by
16	tak
17	učinili
18	jiní
19	po
20	jeho
21	odchodu
22	z
23	výsluní
24	politického
25	života
26	,
27	a
28	předejít
29	tak
30	větší
31	ostudě
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	francouzského	ADJ	3	amod
3	novináře	NOUN	9	obl
4	Philippa	PROPN	3	flat
5	Alexandra	PROPN	3	flat
6	se	PRON	9	expl:pv
7	Mitterrand	PROPN	9	nsubj
8	jen	PART	9	advmod:emph
9	snaží	VERB	0	root
10	odhalit	VERB	9	xcomp
11	věci	NOUN	10	obj
12	dříve	ADV	10	advmod
13	,	PUNCT	17	punct
14	než	SCONJ	17	mark
15	by	AUX	17	aux
16	tak	ADV	17	advmod
17	učinili	VERB	12	advcl
18	jiní	ADJ	17	nsubj
19	po	ADP	21	case
20	jeho	DET	21	det
21	odchodu	NOUN	17	obl
22	z	ADP	23	case
23	výsluní	NOUN	21	nmod
24	politického	ADJ	25	amod
25	života	NOUN	23	nmod
26	,	PUNCT	28	punct
27	a	CCONJ	28	cc
28	předejít	VERB	10	conj
29	tak	ADV	28	advmod
30	větší	ADJ	31	amod
31	ostudě	NOUN	28	obl:arg
32	.	PUNCT	9	punct