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:
Me encuentro perfectamente y con el ritmo de competición necesario, ya que jugué cuarenta y cinco minutos contra el Athletic de Bilbao y todo el partido con Suecia ante Italia ", señaló.
Postion	Tokenization
1	Me
2	encuentro
3	perfectamente
4	y
5	con
6	el
7	ritmo
8	de
9	competición
10	necesario
11	,
12	ya
13	que
14	jugué
15	cuarenta
16	y
17	cinco
18	minutos
19	contra
20	el
21	Athletic
22	de
23	Bilbao
24	y
25	todo
26	el
27	partido
28	con
29	Suecia
30	ante
31	Italia
32	"
33	,
34	señaló
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	expl:pv
2	encuentro	VERB	34	ccomp
3	perfectamente	ADV	2	obj
4	y	CCONJ	7	cc
5	con	ADP	7	case
6	el	DET	7	det
7	ritmo	NOUN	3	conj
8	de	ADP	9	case
9	competición	NOUN	7	nmod
10	necesario	ADJ	7	amod
11	,	PUNCT	14	punct
12	ya	ADV	14	mark
13	que	SCONJ	12	fixed
14	jugué	VERB	2	advcl
15	cuarenta	NUM	18	nummod
16	y	CCONJ	15	compound
17	cinco	NUM	15	compound
18	minutos	NOUN	14	obl
19	contra	ADP	21	case
20	el	DET	21	det
21	Athletic	PROPN	14	obl
22	de	ADP	23	case
23	Bilbao	PROPN	21	flat
24	y	CCONJ	27	cc
25	todo	DET	26	det
26	el	DET	27	det
27	partido	NOUN	14	conj
28	con	ADP	29	case
29	Suecia	PROPN	27	nmod
30	ante	ADP	31	case
31	Italia	PROPN	27	nmod
32	"	PUNCT	2	punct
33	,	PUNCT	2	punct
34	señaló	VERB	0	root
35	.	PUNCT	34	punct