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:
Cette bibliothèque a un binding au langage Python appelé piggyphoto et un support expérimental ptp pour win32 et CDHK appelé PiggyPTP.
Postion	Tokenization
1	Cette
2	bibliothèque
3	a
4	un
5	binding
6	au
7	à
8	le
9	langage
10	Python
11	appelé
12	piggyphoto
13	et
14	un
15	support
16	expérimental
17	ptp
18	pour
19	win32
20	et
21	CDHK
22	appelé
23	PiggyPTP
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	bibliothèque	NOUN	3	nsubj
3	a	VERB	0	root
4	un	DET	5	det
5	binding	NOUN	3	obj
6	au	_	None	_
7	à	ADP	8	case
8	le	DET	8	det
9	langage	NOUN	5	nmod
10	Python	PROPN	8	appos
11	appelé	VERB	5	acl
12	piggyphoto	PROPN	10	xcomp:pred
13	et	CCONJ	14	cc
14	un	DET	14	det
15	support	NOUN	5	conj
16	expérimental	ADJ	14	amod
17	ptp	X	14	appos
18	pour	ADP	18	case
19	win32	X	14	nmod
20	et	CCONJ	20	cc
21	CDHK	X	18	conj
22	appelé	VERB	14	acl
23	PiggyPTP	PROPN	21	xcomp:pred
24	.	PUNCT	3	punct