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:
Cinq jours plus tard, le nombre record de 30 335 spectateurs sont présents pour les deux matchs du jour (North Carolina-Cal State Fullerton et Oregon State-Rice).
Postion	Tokenization
1	Cinq
2	jours
3	plus
4	tard
5	,
6	le
7	nombre
8	record
9	de
10	30 335
11	spectateurs
12	sont
13	présents
14	pour
15	les
16	deux
17	matchs
18	du
19	de
20	le
21	jour
22	(
23	North
24	Carolina
25	-
26	Cal
27	State
28	Fullerton
29	et
30	Oregon
31	State-Rice
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Cinq	NUM	2	nummod
2	jours	NOUN	13	obl:mod
3	plus	ADV	4	advmod
4	tard	ADV	2	advmod
5	,	PUNCT	2	punct
6	le	DET	7	det
7	nombre	NOUN	13	nsubj
8	record	NOUN	7	appos
9	de	ADP	11	case
10	30 335	NUM	11	nummod
11	spectateurs	NOUN	7	nmod
12	sont	AUX	13	cop
13	présents	ADJ	0	root
14	pour	ADP	17	case
15	les	DET	17	det
16	deux	NUM	17	nummod
17	matchs	NOUN	13	obl:mod
18	du	_	None	_
19	de	ADP	20	case
20	le	DET	20	det
21	jour	NOUN	17	nmod
22	(	PUNCT	22	punct
23	North	PROPN	17	appos
24	Carolina	PROPN	22	flat:name
25	-	PUNCT	25	punct
26	Cal	PROPN	22	nmod
27	State	PROPN	25	flat:name
28	Fullerton	PROPN	26	flat:name
29	et	CCONJ	29	cc
30	Oregon	PROPN	22	conj
31	State-Rice	PROPN	29	flat:name
32	)	PUNCT	22	punct
33	.	PUNCT	13	punct