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:
Tom Hall est comme Romero, reconnu pour sa participation à des jeux majeurs sur plate-forme PC dans les années 1990.
Postion	Tokenization
1	Tom
2	Hall
3	est
4	comme
5	Romero
6	,
7	reconnu
8	pour
9	sa
10	participation
11	à
12	des
13	jeux
14	majeurs
15	sur
16	plate-forme
17	PC
18	dans
19	les
20	années
21	1990
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Tom	PROPN	5	nsubj
2	Hall	PROPN	1	flat:name
3	est	AUX	5	cop
4	comme	ADP	5	case
5	Romero	PROPN	0	root
6	,	PUNCT	7	punct
7	reconnu	VERB	5	acl
8	pour	ADP	10	case
9	sa	DET	10	det
10	participation	NOUN	7	obl:mod
11	à	ADP	13	case
12	des	DET	13	det
13	jeux	NOUN	10	nmod
14	majeurs	ADJ	13	amod
15	sur	ADP	16	case
16	plate-forme	NOUN	10	nmod
17	PC	NOUN	16	nmod
18	dans	ADP	20	case
19	les	DET	20	det
20	années	NOUN	10	nmod
21	1990	NUM	20	nmod
22	.	PUNCT	5	punct