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:
La version originale était encore plus explicite, montrant des serpents arborant des swastikas, et les portraits de Hermann Göring et de Joseph Goebbels.
Postion	Tokenization
1	La
2	version
3	originale
4	était
5	encore
6	plus
7	explicite
8	,
9	montrant
10	des
11	serpents
12	arborant
13	des
14	swastikas
15	,
16	et
17	les
18	portraits
19	de
20	Hermann
21	Göring
22	et
23	de
24	Joseph
25	Goebbels
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	version	NOUN	7	nsubj
3	originale	ADJ	2	amod
4	était	AUX	7	cop
5	encore	ADV	7	advmod
6	plus	ADV	7	advmod
7	explicite	ADJ	0	root
8	,	PUNCT	9	punct
9	montrant	VERB	7	advcl
10	des	DET	11	det
11	serpents	NOUN	9	obj
12	arborant	VERB	11	acl
13	des	DET	14	det
14	swastikas	NOUN	12	obj
15	,	PUNCT	18	punct
16	et	CCONJ	18	cc
17	les	DET	18	det
18	portraits	NOUN	11	conj
19	de	ADP	20	case
20	Hermann	PROPN	18	nmod
21	Göring	PROPN	20	flat:name
22	et	CCONJ	24	cc
23	de	ADP	24	case
24	Joseph	PROPN	20	conj
25	Goebbels	PROPN	24	flat:name
26	.	PUNCT	7	punct