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:
La ville de Monastir elle-même et son environnement immédiat, la boucle de la Tcherna, sont investis le 19 novembre par les troupes françaises.
Postion	Tokenization
1	La
2	ville
3	de
4	Monastir
5	elle-même
6	et
7	son
8	environnement
9	immédiat
10	,
11	la
12	boucle
13	de
14	la
15	Tcherna
16	,
17	sont
18	investis
19	le
20	19
21	novembre
22	par
23	les
24	troupes
25	françaises
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ville	NOUN	18	nsubj:pass
3	de	ADP	4	case
4	Monastir	PROPN	2	nmod
5	elle-même	PRON	2	nmod
6	et	CCONJ	8	cc
7	son	DET	8	det
8	environnement	NOUN	2	conj
9	immédiat	ADJ	8	amod
10	,	PUNCT	12	punct
11	la	DET	12	det
12	boucle	NOUN	8	appos
13	de	ADP	15	case
14	la	DET	15	det
15	Tcherna	PROPN	12	nmod
16	,	PUNCT	2	punct
17	sont	AUX	18	aux:pass
18	investis	VERB	0	root
19	le	DET	20	det
20	19	NUM	18	obl:mod
21	novembre	NOUN	20	nmod
22	par	ADP	24	case
23	les	DET	24	det
24	troupes	NOUN	18	obl:agent
25	françaises	ADJ	24	amod
26	.	PUNCT	18	punct