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 franchit le Rhin sur deux écluses, longe le fleuve en Allemagne et longe la Forêt de la Hardt en France.
Postion	Tokenization
1	Il
2	franchit
3	le
4	Rhin
5	sur
6	deux
7	écluses
8	,
9	longe
10	le
11	fleuve
12	en
13	Allemagne
14	et
15	longe
16	la
17	Forêt
18	de
19	la
20	Hardt
21	en
22	France
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	franchit	VERB	0	root
3	le	DET	4	det
4	Rhin	PROPN	2	obj
5	sur	ADP	7	case
6	deux	NUM	7	nummod
7	écluses	NOUN	2	obl:mod
8	,	PUNCT	9	punct
9	longe	VERB	2	conj
10	le	DET	11	det
11	fleuve	NOUN	9	obj
12	en	ADP	13	case
13	Allemagne	PROPN	9	obl:mod
14	et	CCONJ	15	cc
15	longe	VERB	2	conj
16	la	DET	17	det
17	Forêt	NOUN	15	obj
18	de	ADP	20	case
19	la	DET	20	det
20	Hardt	PROPN	17	nmod
21	en	ADP	22	case
22	France	PROPN	17	nmod
23	.	PUNCT	2	punct