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:
Le 7 mai 2008, Herlind Grundelach est nommée sénatrice pour la Science et la Recherche de Hambourg dans la première coalition noire-verte d'Allemagne.
Postion	Tokenization
1	Le
2	7
3	mai
4	2008
5	,
6	Herlind
7	Grundelach
8	est
9	nommée
10	sénatrice
11	pour
12	la
13	Science
14	et
15	la
16	Recherche
17	de
18	Hambourg
19	dans
20	la
21	première
22	coalition
23	noire-verte
24	d'
25	Allemagne
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	7	NUM	9	obl:mod
3	mai	NOUN	2	nmod
4	2008	NUM	3	nmod
5	,	PUNCT	2	punct
6	Herlind	PROPN	9	nsubj:pass
7	Grundelach	PROPN	6	flat:name
8	est	AUX	9	aux:pass
9	nommée	VERB	0	root
10	sénatrice	NOUN	9	xcomp:pred
11	pour	ADP	13	case
12	la	DET	13	det
13	Science	NOUN	10	nmod
14	et	CCONJ	16	cc
15	la	DET	16	det
16	Recherche	NOUN	13	conj
17	de	ADP	18	case
18	Hambourg	PROPN	13	nmod
19	dans	ADP	22	case
20	la	DET	22	det
21	première	ADJ	22	amod
22	coalition	NOUN	9	obl:mod
23	noire-verte	ADJ	22	amod
24	d'	ADP	25	case
25	Allemagne	PROPN	22	nmod
26	.	PUNCT	9	punct