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:
La Comisión de Apelación de la Federación Italiana de Fútbol se pronunciará ese día sobre los casos de dopaje por nandrolona del español Josep Guardiola (Brescia) y del defensa holandés Jaap Stam (Lazio).
Postion	Tokenization
1	La
2	Comisión
3	de
4	Apelación
5	de
6	la
7	Federación
8	Italiana
9	de
10	Fútbol
11	se
12	pronunciará
13	ese
14	día
15	sobre
16	los
17	casos
18	de
19	dopaje
20	por
21	nandrolona
22	del
23	español
24	Josep
25	Guardiola
26	(
27	Brescia
28	)
29	y
30	del
31	defensa
32	holandés
33	Jaap
34	Stam
35	(
36	Lazio
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Comisión	PROPN	12	nsubj
3	de	ADP	4	case
4	Apelación	PROPN	2	flat
5	de	ADP	7	case
6	la	DET	7	det
7	Federación	PROPN	2	nmod
8	Italiana	PROPN	7	flat
9	de	ADP	10	case
10	Fútbol	PROPN	7	flat
11	se	PRON	12	expl:pv
12	pronunciará	VERB	0	root
13	ese	DET	14	det
14	día	NOUN	12	obl
15	sobre	ADP	17	case
16	los	DET	17	det
17	casos	NOUN	12	obj
18	de	ADP	19	case
19	dopaje	NOUN	17	nmod
20	por	ADP	21	case
21	nandrolona	NOUN	19	nmod
22	del	ADP	23	case
23	español	NOUN	19	nmod
24	Josep	PROPN	23	appos
25	Guardiola	PROPN	24	flat
26	(	PUNCT	27	punct
27	Brescia	PROPN	24	flat
28	)	PUNCT	27	punct
29	y	CCONJ	31	cc
30	del	ADP	31	case
31	defensa	NOUN	23	conj
32	holandés	ADJ	31	amod
33	Jaap	PROPN	31	appos
34	Stam	PROPN	33	flat
35	(	PUNCT	36	punct
36	Lazio	PROPN	33	flat
37	)	PUNCT	36	punct
38	.	PUNCT	12	punct