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 célèbre tour comportant une des entrées vers le Kremlin, tient son nom de la colline Boroviski, l'une des sept collines de Moscou.
Postion	Tokenization
1	La
2	célèbre
3	tour
4	comportant
5	une
6	des
7	de
8	les
9	entrées
10	vers
11	le
12	Kremlin
13	,
14	tient
15	son
16	nom
17	de
18	la
19	colline
20	Boroviski
21	,
22	l'
23	une
24	des
25	de
26	les
27	sept
28	collines
29	de
30	Moscou
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	célèbre	ADJ	3	amod
3	tour	NOUN	13	nsubj
4	comportant	VERB	3	acl
5	une	PRON	4	obj
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	entrées	NOUN	5	nmod
10	vers	ADP	11	case
11	le	DET	11	det
12	Kremlin	PROPN	5	nmod
13	,	PUNCT	4	punct
14	tient	VERB	0	root
15	son	DET	15	det
16	nom	NOUN	13	obj
17	de	ADP	18	case
18	la	DET	18	det
19	colline	NOUN	15	nmod
20	Boroviski	PROPN	18	appos
21	,	PUNCT	22	punct
22	l'	DET	22	det
23	une	PRON	18	appos
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	sept	NUM	26	nummod
28	collines	NOUN	22	nmod
29	de	ADP	28	case
30	Moscou	PROPN	26	nmod
31	.	PUNCT	13	punct