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 base sous-marine de Brest est un immense bunker de la Seconde Guerre mondiale, destiné à abriter la 1ère et la 9ème flottille de U-boots de la Kriegsmarine.
Postion	Tokenization
1	La
2	base
3	sous-marine
4	de
5	Brest
6	est
7	un
8	immense
9	bunker
10	de
11	la
12	Seconde
13	Guerre
14	mondiale
15	,
16	destiné
17	à
18	abriter
19	la
20	1ère
21	et
22	la
23	9ème
24	flottille
25	de
26	U-boots
27	de
28	la
29	Kriegsmarine
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	base	NOUN	9	nsubj
3	sous-marine	ADJ	2	amod
4	de	ADP	5	case
5	Brest	PROPN	2	nmod
6	est	AUX	9	cop
7	un	DET	9	det
8	immense	ADJ	9	amod
9	bunker	NOUN	0	root
10	de	ADP	13	case
11	la	DET	13	det
12	Seconde	ADJ	13	amod
13	Guerre	NOUN	9	nmod
14	mondiale	ADJ	13	amod
15	,	PUNCT	16	punct
16	destiné	VERB	9	acl
17	à	ADP	18	mark
18	abriter	VERB	16	xcomp:obl
19	la	DET	24	det
20	1ère	ADJ	24	amod
21	et	CCONJ	23	cc
22	la	DET	23	det
23	9ème	ADJ	20	conj
24	flottille	NOUN	18	obj
25	de	ADP	26	case
26	U-boots	PROPN	24	nmod
27	de	ADP	29	case
28	la	DET	29	det
29	Kriegsmarine	PROPN	24	nmod
30	.	PUNCT	9	punct