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:
Tras el entrenamiento de hoy, el técnico madridista dio las razones del descanso a dos jugadores básicos: "tenemos que proteger a jugadores de la plantilla que están muy castigados.
Postion	Tokenization
1	Tras
2	el
3	entrenamiento
4	de
5	hoy
6	,
7	el
8	técnico
9	madridista
10	dio
11	las
12	razones
13	del
14	descanso
15	a
16	dos
17	jugadores
18	básicos
19	:
20	"
21	tenemos
22	que
23	proteger
24	a
25	jugadores
26	de
27	la
28	plantilla
29	que
30	están
31	muy
32	castigados
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	el	DET	3	det
3	entrenamiento	NOUN	10	obl
4	de	ADP	5	case
5	hoy	ADV	3	advmod
6	,	PUNCT	3	punct
7	el	DET	8	det
8	técnico	NOUN	10	nsubj
9	madridista	ADJ	8	amod
10	dio	VERB	0	root
11	las	DET	12	det
12	razones	NOUN	10	obj
13	del	ADP	14	case
14	descanso	NOUN	12	nmod
15	a	ADP	17	case
16	dos	NUM	17	nummod
17	jugadores	NOUN	10	obj
18	básicos	ADJ	17	amod
19	:	PUNCT	21	punct
20	"	PUNCT	21	punct
21	tenemos	VERB	10	advcl
22	que	SCONJ	23	cc
23	proteger	VERB	21	conj
24	a	ADP	25	case
25	jugadores	NOUN	23	obj
26	de	ADP	28	case
27	la	DET	28	det
28	plantilla	NOUN	25	nmod
29	que	PRON	32	nsubj
30	están	AUX	32	cop
31	muy	ADV	32	advmod
32	castigados	ADJ	25	acl
33	.	PUNCT	10	punct