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:
Ses antiquités ont été citées dans de nombreux ouvrages d'auteurs « La cité Romaine est située sur le flanc de la montagne Zaccar qui s'élève à 4000 pieds d'altitude.
Postion	Tokenization
1	Ses
2	antiquités
3	ont
4	été
5	citées
6	dans
7	de
8	nombreux
9	ouvrages
10	d'
11	auteurs
12	«
13	La
14	cité
15	Romaine
16	est
17	située
18	sur
19	le
20	flanc
21	de
22	la
23	montagne
24	Zaccar
25	qui
26	s'
27	élève
28	à
29	4000
30	pieds
31	d'
32	altitude
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	antiquités	NOUN	5	nsubj:pass
3	ont	AUX	5	aux:tense
4	été	AUX	5	aux:pass
5	citées	VERB	0	root
6	dans	ADP	9	case
7	de	DET	9	det
8	nombreux	ADJ	9	amod
9	ouvrages	NOUN	5	obl:mod
10	d'	ADP	11	case
11	auteurs	NOUN	9	nmod
12	«	PUNCT	17	punct
13	La	DET	14	det
14	cité	NOUN	17	nsubj
15	Romaine	ADJ	14	amod
16	est	AUX	17	aux:tense
17	située	VERB	5	parataxis
18	sur	ADP	20	case
19	le	DET	20	det
20	flanc	NOUN	17	obl:mod
21	de	ADP	23	case
22	la	DET	23	det
23	montagne	NOUN	20	nmod
24	Zaccar	PROPN	23	appos
25	qui	PRON	27	nsubj:pass
26	s'	PRON	27	expl:pass
27	élève	VERB	23	acl:relcl
28	à	ADP	30	case
29	4000	NUM	30	nummod
30	pieds	NOUN	27	obl:arg
31	d'	ADP	32	case
32	altitude	NOUN	30	nmod
33	.	PUNCT	5	punct