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:
Steffi a été lancée dans le tennis par son père, Peter Graf, un concessionnaire et assureur automobile, ainsi qu'apprenti entraîneur de tennis.
Postion	Tokenization
1	Steffi
2	a
3	été
4	lancée
5	dans
6	le
7	tennis
8	par
9	son
10	père
11	,
12	Peter
13	Graf
14	,
15	un
16	concessionnaire
17	et
18	assureur
19	automobile
20	,
21	ainsi
22	qu'
23	apprenti
24	entraîneur
25	de
26	tennis
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Steffi	PROPN	4	nsubj:pass
2	a	AUX	4	aux:tense
3	été	AUX	4	aux:pass
4	lancée	VERB	0	root
5	dans	ADP	7	case
6	le	DET	7	det
7	tennis	NOUN	4	obl:arg
8	par	ADP	10	case
9	son	DET	10	det
10	père	NOUN	4	obl:agent
11	,	PUNCT	12	punct
12	Peter	PROPN	10	appos
13	Graf	PROPN	12	flat:name
14	,	PUNCT	16	punct
15	un	DET	16	det
16	concessionnaire	NOUN	10	appos
17	et	CCONJ	18	cc
18	assureur	NOUN	16	conj
19	automobile	ADJ	18	amod
20	,	PUNCT	16	punct
21	ainsi	ADV	24	cc
22	qu'	SCONJ	21	fixed
23	apprenti	NOUN	24	nmod
24	entraîneur	NOUN	10	conj
25	de	ADP	26	case
26	tennis	NOUN	24	nmod
27	.	PUNCT	4	punct