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 listu byla fotografie prince, který má na sobě pouze bílý koupací plášť nedbale přehozený přes ramena, pořízena o prázdninách v jižní Francii.
Postion	Tokenization
1	Podle
2	listu
3	byla
4	fotografie
5	prince
6	,
7	který
8	má
9	na
10	sobě
11	pouze
12	bílý
13	koupací
14	plášť
15	nedbale
16	přehozený
17	přes
18	ramena
19	,
20	pořízena
21	o
22	prázdninách
23	v
24	jižní
25	Francii
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	listu	NOUN	20	obl
3	byla	AUX	20	aux:pass
4	fotografie	NOUN	20	nsubj:pass
5	prince	NOUN	4	nmod
6	,	PUNCT	8	punct
7	který	DET	8	nsubj
8	má	VERB	5	acl:relcl
9	na	ADP	10	case
10	sobě	PRON	8	obl
11	pouze	ADV	14	advmod:emph
12	bílý	ADJ	14	amod
13	koupací	ADJ	14	amod
14	plášť	NOUN	8	obj
15	nedbale	ADV	16	advmod
16	přehozený	ADJ	14	amod
17	přes	ADP	18	case
18	ramena	NOUN	16	obl
19	,	PUNCT	8	punct
20	pořízena	ADJ	0	root
21	o	ADP	22	case
22	prázdninách	NOUN	20	obl
23	v	ADP	25	case
24	jižní	ADJ	25	amod
25	Francii	PROPN	22	nmod
26	.	PUNCT	20	punct