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 rallia à son mouvement huit membres du parti, élus à la Knesset, parmi lesquels Moshe Dayan, Shimon Peres, Chaim Herzog et Teddy Kollek.
Postion	Tokenization
1	Il
2	rallia
3	à
4	son
5	mouvement
6	huit
7	membres
8	du
9	de
10	le
11	parti
12	,
13	élus
14	à
15	la
16	Knesset
17	,
18	parmi
19	lesquels
20	Moshe
21	Dayan
22	,
23	Shimon
24	Peres
25	,
26	Chaim
27	Herzog
28	et
29	Teddy
30	Kollek
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	rallia	VERB	0	root
3	à	ADP	5	case
4	son	DET	5	det
5	mouvement	NOUN	2	obl:mod
6	huit	NUM	7	nummod
7	membres	NOUN	2	obj
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	parti	NOUN	7	nmod
12	,	PUNCT	12	punct
13	élus	VERB	7	acl
14	à	ADP	15	case
15	la	DET	15	det
16	Knesset	PROPN	12	obl:arg
17	,	PUNCT	19	punct
18	parmi	ADP	18	case
19	lesquels	PRON	19	nmod
20	Moshe	PROPN	7	acl:relcl
21	Dayan	PROPN	19	flat:name
22	,	PUNCT	22	punct
23	Shimon	PROPN	19	conj
24	Peres	PROPN	22	flat:name
25	,	PUNCT	25	punct
26	Chaim	PROPN	19	conj
27	Herzog	PROPN	25	flat:name
28	et	CCONJ	28	cc
29	Teddy	PROPN	19	conj
30	Kollek	PROPN	28	flat:name
31	.	PUNCT	2	punct