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:
Cet été, Arsenal n'a pas su retenir deux de ses stars, Cesc Fabregas et Samir Nasri, partis respectivement à Barcelone et à Manchester City.
Postion	Tokenization
1	Cet
2	été
3	,
4	Arsenal
5	n'
6	a
7	pas
8	su
9	retenir
10	deux
11	de
12	ses
13	stars
14	,
15	Cesc
16	Fabregas
17	et
18	Samir
19	Nasri
20	,
21	partis
22	respectivement
23	à
24	Barcelone
25	et
26	à
27	Manchester
28	City
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Cet	DET	2	det
2	été	NOUN	8	obl:mod
3	,	PUNCT	2	punct
4	Arsenal	PROPN	8	nsubj
5	n'	ADV	8	advmod
6	a	AUX	8	aux:tense
7	pas	ADV	8	advmod
8	su	VERB	0	root
9	retenir	VERB	8	xcomp:obj
10	deux	NUM	9	obj
11	de	ADP	13	case
12	ses	DET	13	det
13	stars	NOUN	10	nmod
14	,	PUNCT	15	punct
15	Cesc	PROPN	10	appos
16	Fabregas	PROPN	15	flat:name
17	et	CCONJ	18	cc
18	Samir	PROPN	15	conj
19	Nasri	PROPN	18	flat:name
20	,	PUNCT	21	punct
21	partis	VERB	10	acl
22	respectivement	ADV	21	advmod
23	à	ADP	24	case
24	Barcelone	PROPN	21	obl:arg
25	et	CCONJ	27	cc
26	à	ADP	27	case
27	Manchester	PROPN	24	conj
28	City	PROPN	27	flat:name
29	.	PUNCT	8	punct