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:
En effet il peuple les affluents de la mer Caspienne, de la mer Noire, de la mer d'Azov, de la mer Baltique, de la mer Blanche, de la mer de Barents et de la mer de Kara.
Postion	Tokenization
1	En
2	effet
3	il
4	peuple
5	les
6	affluents
7	de
8	la
9	mer
10	Caspienne
11	,
12	de
13	la
14	mer
15	Noire
16	,
17	de
18	la
19	mer
20	d'
21	Azov
22	,
23	de
24	la
25	mer
26	Baltique
27	,
28	de
29	la
30	mer
31	Blanche
32	,
33	de
34	la
35	mer
36	de
37	Barents
38	et
39	de
40	la
41	mer
42	de
43	Kara
44	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	advmod
2	effet	NOUN	1	fixed
3	il	PRON	4	nsubj
4	peuple	VERB	0	root
5	les	DET	6	det
6	affluents	NOUN	4	obj
7	de	ADP	9	case
8	la	DET	9	det
9	mer	NOUN	6	nmod
10	Caspienne	ADJ	9	amod
11	,	PUNCT	14	punct
12	de	ADP	14	case
13	la	DET	14	det
14	mer	NOUN	9	conj
15	Noire	ADJ	14	amod
16	,	PUNCT	19	punct
17	de	ADP	19	case
18	la	DET	19	det
19	mer	NOUN	9	conj
20	d'	ADP	21	case
21	Azov	PROPN	19	nmod
22	,	PUNCT	25	punct
23	de	ADP	25	case
24	la	DET	25	det
25	mer	NOUN	9	conj
26	Baltique	ADJ	25	amod
27	,	PUNCT	30	punct
28	de	ADP	30	case
29	la	DET	30	det
30	mer	NOUN	9	conj
31	Blanche	ADJ	30	amod
32	,	PUNCT	35	punct
33	de	ADP	35	case
34	la	DET	35	det
35	mer	NOUN	9	conj
36	de	ADP	37	case
37	Barents	PROPN	35	nmod
38	et	CCONJ	41	cc
39	de	ADP	41	case
40	la	DET	41	det
41	mer	NOUN	9	conj
42	de	ADP	43	case
43	Kara	PROPN	41	nmod
44	.	PUNCT	4	punct