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:
Deux ans plus tard, il égale le record de Pologne en 13 s 27 pour terminer 3D des Championnats d'Europe d'athlétisme 2012.
Postion	Tokenization
1	Deux
2	ans
3	plus
4	tard
5	,
6	il
7	égale
8	le
9	record
10	de
11	Pologne
12	en
13	13
14	s
15	27
16	pour
17	terminer
18	3D
19	des
20	de
21	les
22	Championnats
23	d'
24	Europe
25	d'
26	athlétisme
27	2012
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Deux	NUM	2	nummod
2	ans	NOUN	7	obl:mod
3	plus	ADV	4	advmod
4	tard	ADV	7	advmod
5	,	PUNCT	4	punct
6	il	PRON	7	nsubj
7	égale	VERB	0	root
8	le	DET	9	det
9	record	NOUN	7	obj
10	de	ADP	11	case
11	Pologne	PROPN	9	nmod
12	en	ADP	14	case
13	13	NUM	14	nummod
14	s	NOUN	7	obl:mod
15	27	NUM	14	nmod
16	pour	ADP	17	mark
17	terminer	VERB	7	advcl
18	3D	NOUN	17	xcomp:pred
19	des	_	None	_
20	de	ADP	21	case
21	les	DET	21	det
22	Championnats	NOUN	18	nmod
23	d'	ADP	23	case
24	Europe	PROPN	21	nmod
25	d'	ADP	25	case
26	athlétisme	NOUN	21	nmod
27	2012	NUM	21	nmod
28	.	PUNCT	7	punct