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:
Sa seconde victoire est obtenue au Rallye d'Écosse, et deux places de second sont également à mettre à son actif durant cette saison d'IRC.
Postion	Tokenization
1	Sa
2	seconde
3	victoire
4	est
5	obtenue
6	au
7	à
8	le
9	Rallye
10	d'
11	Écosse
12	,
13	et
14	deux
15	places
16	de
17	second
18	sont
19	également
20	à
21	mettre
22	à
23	son
24	actif
25	durant
26	cette
27	saison
28	d'
29	IRC
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Sa	DET	3	det
2	seconde	ADJ	3	amod
3	victoire	NOUN	5	nsubj
4	est	AUX	5	aux:tense
5	obtenue	VERB	0	root
6	au	_	None	_
7	à	ADP	8	case
8	le	DET	8	det
9	Rallye	NOUN	5	obl:mod
10	d'	ADP	10	case
11	Écosse	PROPN	8	nmod
12	,	PUNCT	17	punct
13	et	CCONJ	17	cc
14	deux	NUM	14	nummod
15	places	NOUN	17	nsubj
16	de	ADP	16	case
17	second	NOUN	14	nmod
18	sont	VERB	5	conj
19	également	ADV	17	advmod
20	à	ADP	20	mark
21	mettre	VERB	17	ccomp:pred
22	à	ADP	23	case
23	son	DET	23	det
24	actif	NOUN	20	obl:arg
25	durant	ADP	26	case
26	cette	DET	26	det
27	saison	NOUN	17	obl:mod
28	d'	ADP	28	case
29	IRC	PROPN	26	nmod
30	.	PUNCT	5	punct