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:
El suizo François Carrara, director general del COI, ironizó ayer, en Lausana, sobre este tema reconociendo que ningún representante olímpico estaría en contra de esa idea.
Postion	Tokenization
1	El
2	suizo
3	François
4	Carrara
5	,
6	director
7	general
8	del
9	COI
10	,
11	ironizó
12	ayer
13	,
14	en
15	Lausana
16	,
17	sobre
18	este
19	tema
20	reconociendo
21	que
22	ningún
23	representante
24	olímpico
25	estaría
26	en
27	contra
28	de
29	esa
30	idea
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	suizo	NOUN	11	nsubj
3	François	PROPN	2	appos
4	Carrara	PROPN	3	flat
5	,	PUNCT	6	punct
6	director	NOUN	2	appos
7	general	ADJ	6	amod
8	del	ADP	9	case
9	COI	PROPN	6	nmod
10	,	PUNCT	6	punct
11	ironizó	VERB	0	root
12	ayer	ADV	11	advmod
13	,	PUNCT	15	punct
14	en	ADP	15	case
15	Lausana	PROPN	11	obl
16	,	PUNCT	15	punct
17	sobre	ADP	19	case
18	este	DET	19	det
19	tema	NOUN	11	obj
20	reconociendo	VERB	11	advcl
21	que	SCONJ	26	mark
22	ningún	DET	23	det
23	representante	NOUN	26	nsubj
24	olímpico	ADJ	23	amod
25	estaría	AUX	26	cop
26	en	ADP	20	ccomp
27	contra	NOUN	26	fixed
28	de	ADP	30	case
29	esa	DET	30	det
30	idea	NOUN	26	obl
31	.	PUNCT	11	punct