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:
En juin, il termine deuxième du Tour de Hollande-Septentrionale, battu au sprint par son compagnon d'échappée, Aart Vierhouten.
Postion	Tokenization
1	En
2	juin
3	,
4	il
5	termine
6	deuxième
7	du
8	de
9	le
10	Tour
11	de
12	Hollande-Septentrionale
13	,
14	battu
15	au
16	à
17	le
18	sprint
19	par
20	son
21	compagnon
22	d'
23	échappée
24	,
25	Aart
26	Vierhouten
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	juin	NOUN	5	obl:mod
3	,	PUNCT	2	punct
4	il	PRON	5	nsubj
5	termine	VERB	0	root
6	deuxième	ADJ	5	xcomp:pred
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	Tour	NOUN	6	obl:mod
11	de	ADP	11	case
12	Hollande-Septentrionale	PROPN	9	nmod
13	,	PUNCT	13	punct
14	battu	VERB	5	advcl
15	au	_	None	_
16	à	ADP	16	case
17	le	DET	16	det
18	sprint	NOUN	13	obl:mod
19	par	ADP	19	case
20	son	DET	19	det
21	compagnon	NOUN	13	obl:agent
22	d'	ADP	21	case
23	échappée	NOUN	19	nmod
24	,	PUNCT	23	punct
25	Aart	PROPN	19	appos
26	Vierhouten	PROPN	23	flat:name
27	.	PUNCT	5	punct