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:
Il a traduit pour Gallimard les romans de Goethe et préfacé la traduction du Procès de Kafka par Alexandre Vialatte (1946).
Postion	Tokenization
1	Il
2	a
3	traduit
4	pour
5	Gallimard
6	les
7	romans
8	de
9	Goethe
10	et
11	préfacé
12	la
13	traduction
14	du
15	de
16	le
17	Procès
18	de
19	Kafka
20	par
21	Alexandre
22	Vialatte
23	(
24	1946
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	traduit	VERB	0	root
4	pour	ADP	5	case
5	Gallimard	PROPN	3	obl:mod
6	les	DET	7	det
7	romans	NOUN	3	obj
8	de	ADP	9	case
9	Goethe	PROPN	7	nmod
10	et	CCONJ	11	cc
11	préfacé	VERB	3	conj
12	la	DET	13	det
13	traduction	NOUN	11	obj
14	du	_	None	_
15	de	ADP	16	case
16	le	DET	16	det
17	Procès	PROPN	13	nmod
18	de	ADP	18	case
19	Kafka	PROPN	16	nmod
20	par	ADP	20	case
21	Alexandre	PROPN	13	nmod
22	Vialatte	PROPN	20	flat:name
23	(	PUNCT	23	punct
24	1946	NUM	11	obl:mod
25	)	PUNCT	23	punct
26	.	PUNCT	3	punct