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:
Septime Sévère lors de sa campagne orientale de 195 lui infligea de sévères défaites et pris le titre dAdiabenicus, « vainqueur de l'Adiabène ».
Postion	Tokenization
1	Septime
2	Sévère
3	lors
4	de
5	sa
6	campagne
7	orientale
8	de
9	195
10	lui
11	infligea
12	de
13	sévères
14	défaites
15	et
16	pris
17	le
18	titre
19	dAdiabenicus
20	,
21	«
22	vainqueur
23	de
24	l'
25	Adiabène
26	»
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Septime	PROPN	11	nsubj
2	Sévère	ADJ	1	amod
3	lors	ADV	11	advmod
4	de	ADP	6	case
5	sa	DET	6	det
6	campagne	NOUN	3	obl:arg
7	orientale	ADJ	6	amod
8	de	ADP	9	case
9	195	NUM	6	nmod
10	lui	PRON	11	obl:arg
11	infligea	VERB	0	root
12	de	DET	14	det
13	sévères	ADJ	14	amod
14	défaites	NOUN	11	obj
15	et	CCONJ	16	cc
16	pris	VERB	11	conj
17	le	DET	18	det
18	titre	NOUN	16	obj
19	dAdiabenicus	PROPN	18	appos
20	,	PUNCT	22	punct
21	«	PUNCT	22	punct
22	vainqueur	NOUN	19	appos
23	de	ADP	25	case
24	l'	DET	25	det
25	Adiabène	PROPN	22	nmod
26	»	PUNCT	22	punct
27	.	PUNCT	11	punct