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:
Grove et Wynn ont gagné exactement 300 parties tandis que Spahn a enregistré 363 victoires, établissant les records pour un lanceur gaucher et un lanceur de la Ligue nationale.
Postion	Tokenization
1	Grove
2	et
3	Wynn
4	ont
5	gagné
6	exactement
7	300
8	parties
9	tandis
10	que
11	Spahn
12	a
13	enregistré
14	363
15	victoires
16	,
17	établissant
18	les
19	records
20	pour
21	un
22	lanceur
23	gaucher
24	et
25	un
26	lanceur
27	de
28	la
29	Ligue
30	nationale
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Grove	PROPN	5	nsubj
2	et	CCONJ	3	cc
3	Wynn	PROPN	1	conj
4	ont	AUX	5	aux:tense
5	gagné	VERB	0	root
6	exactement	ADV	5	advmod
7	300	NUM	8	nummod
8	parties	NOUN	5	obj
9	tandis	ADV	13	mark
10	que	SCONJ	9	fixed
11	Spahn	PROPN	13	nsubj
12	a	AUX	13	aux:tense
13	enregistré	VERB	5	advcl
14	363	NUM	15	nummod
15	victoires	NOUN	13	obj
16	,	PUNCT	17	punct
17	établissant	VERB	13	advcl
18	les	DET	19	det
19	records	NOUN	17	obj
20	pour	ADP	22	case
21	un	DET	22	det
22	lanceur	NOUN	17	obl:mod
23	gaucher	ADJ	22	amod
24	et	CCONJ	26	cc
25	un	DET	26	det
26	lanceur	NOUN	22	conj
27	de	ADP	29	case
28	la	DET	29	det
29	Ligue	NOUN	26	nmod
30	nationale	ADJ	29	amod
31	.	PUNCT	5	punct