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:
Herzog fut élu président d'Israël pour deux mandats successifs de cinq ans, en 1983 puis en 1988 (contre le juge Menachem Elon).
Postion	Tokenization
1	Herzog
2	fut
3	élu
4	président
5	d'
6	Israël
7	pour
8	deux
9	mandats
10	successifs
11	de
12	cinq
13	ans
14	,
15	en
16	1983
17	puis
18	en
19	1988
20	(
21	contre
22	le
23	juge
24	Menachem
25	Elon
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Herzog	PROPN	3	nsubj:pass
2	fut	AUX	3	aux:pass
3	élu	VERB	0	root
4	président	NOUN	3	xcomp:pred
5	d'	ADP	6	case
6	Israël	PROPN	4	nmod
7	pour	ADP	9	case
8	deux	NUM	9	nummod
9	mandats	NOUN	3	obl:mod
10	successifs	ADJ	9	amod
11	de	ADP	13	case
12	cinq	NUM	13	nummod
13	ans	NOUN	9	nmod
14	,	PUNCT	16	punct
15	en	ADP	16	case
16	1983	NUM	3	obl:mod
17	puis	ADV	19	cc
18	en	ADP	19	case
19	1988	NUM	16	conj
20	(	PUNCT	23	punct
21	contre	ADP	23	case
22	le	DET	23	det
23	juge	NOUN	19	nmod
24	Menachem	PROPN	23	appos
25	Elon	PROPN	24	flat:name
26	)	PUNCT	23	punct
27	.	PUNCT	3	punct