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:
Flores recupera para este partido al central Fernando Muñoz ` Nando ` y al centrocampista Sergio González, que no pudieron jugar contra el Mallorca por sanción.
Postion	Tokenization
1	Flores
2	recupera
3	para
4	este
5	partido
6	al
7	central
8	Fernando
9	Muñoz
10	`
11	Nando
12	`
13	y
14	al
15	centrocampista
16	Sergio
17	González
18	,
19	que
20	no
21	pudieron
22	jugar
23	contra
24	el
25	Mallorca
26	por
27	sanción
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Flores	PROPN	2	nsubj
2	recupera	VERB	0	root
3	para	ADP	5	case
4	este	DET	5	det
5	partido	NOUN	2	obl
6	al	ADP	7	case
7	central	NOUN	2	obj
8	Fernando	PROPN	7	appos
9	Muñoz	PROPN	8	flat
10	`	PUNCT	11	punct
11	Nando	PROPN	8	flat
12	`	PUNCT	11	punct
13	y	CCONJ	15	cc
14	al	ADP	15	case
15	centrocampista	NOUN	7	conj
16	Sergio	PROPN	15	appos
17	González	PROPN	16	flat
18	,	PUNCT	22	punct
19	que	PRON	22	nsubj
20	no	ADV	22	advmod
21	pudieron	AUX	22	aux
22	jugar	VERB	7	acl
23	contra	ADP	25	case
24	el	DET	25	det
25	Mallorca	PROPN	22	obl
26	por	ADP	27	case
27	sanción	NOUN	22	obl
28	.	PUNCT	2	punct