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:
Après les téléphones sous Android le fabricant chinois ZTE se lance lui aussi dans les tablettes tactiles avec le ZTE's AD 8000.
Postion	Tokenization
1	Après
2	les
3	téléphones
4	sous
5	Android
6	le
7	fabricant
8	chinois
9	ZTE
10	se
11	lance
12	lui
13	aussi
14	dans
15	les
16	tablettes
17	tactiles
18	avec
19	le
20	ZTE's
21	AD
22	8000
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	les	DET	3	det
3	téléphones	NOUN	11	obl:mod
4	sous	ADP	5	case
5	Android	PROPN	3	nmod
6	le	DET	7	det
7	fabricant	NOUN	11	nsubj
8	chinois	ADJ	7	amod
9	ZTE	PROPN	7	appos
10	se	PRON	11	obj
11	lance	VERB	0	root
12	lui	PRON	11	obl:mod
13	aussi	ADV	12	advmod
14	dans	ADP	16	case
15	les	DET	16	det
16	tablettes	NOUN	11	obl:arg
17	tactiles	ADJ	16	amod
18	avec	ADP	20	case
19	le	DET	20	det
20	ZTE's	X	11	obl:mod
21	AD	X	20	flat:foreign
22	8000	NUM	20	nmod
23	.	PUNCT	11	punct