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:
Dans chacun des cas la politique suivie fut plus proche de celle de l'Espagne que celle de l'Allemagne nazie ou de l'Italie fasciste.
Postion	Tokenization
1	Dans
2	chacun
3	des
4	de
5	les
6	cas
7	la
8	politique
9	suivie
10	fut
11	plus
12	proche
13	de
14	celle
15	de
16	l'
17	Espagne
18	que
19	celle
20	de
21	l'
22	Allemagne
23	nazie
24	ou
25	de
26	l'
27	Italie
28	fasciste
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	2	case
2	chacun	PRON	11	obl:mod
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	cas	NOUN	2	nmod
7	la	DET	7	det
8	politique	NOUN	11	nsubj
9	suivie	VERB	7	acl
10	fut	AUX	11	cop
11	plus	ADV	11	advmod
12	proche	ADJ	0	root
13	de	ADP	13	case
14	celle	PRON	11	obl:arg
15	de	ADP	16	case
16	l'	DET	16	det
17	Espagne	PROPN	13	nmod
18	que	SCONJ	18	case
19	celle	PRON	10	obj
20	de	ADP	21	case
21	l'	DET	21	det
22	Allemagne	PROPN	18	nmod
23	nazie	ADJ	21	amod
24	ou	CCONJ	26	cc
25	de	ADP	26	case
26	l'	DET	26	det
27	Italie	PROPN	21	conj
28	fasciste	ADJ	26	amod
29	.	PUNCT	11	punct