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:
Serge Bramly, né le 31 janvier 1949 à Tunis, est un romancier, scénariste, critique d'art français, spécialiste de photographie.
Postion	Tokenization
1	Serge
2	Bramly
3	,
4	né
5	le
6	31
7	janvier
8	1949
9	à
10	Tunis
11	,
12	est
13	un
14	romancier
15	,
16	scénariste
17	,
18	critique
19	d'
20	art
21	français
22	,
23	spécialiste
24	de
25	photographie
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Serge	PROPN	14	nsubj
2	Bramly	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	né	VERB	1	acl
5	le	DET	6	det
6	31	NUM	4	obl:arg
7	janvier	NOUN	6	nmod
8	1949	NUM	7	nmod
9	à	ADP	10	case
10	Tunis	PROPN	4	obl:arg
11	,	PUNCT	4	punct
12	est	AUX	14	cop
13	un	DET	14	det
14	romancier	NOUN	0	root
15	,	PUNCT	16	punct
16	scénariste	NOUN	14	conj
17	,	PUNCT	18	punct
18	critique	NOUN	14	conj
19	d'	ADP	20	case
20	art	NOUN	18	nmod
21	français	ADJ	14	amod
22	,	PUNCT	23	punct
23	spécialiste	NOUN	14	conj
24	de	ADP	25	case
25	photographie	NOUN	23	nmod
26	.	PUNCT	14	punct