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:
"No sé como está Raúl. pero el Madrid es un equipo muy fuerte y salga uno u otro jugador, todos saldrán a hacer lo mejor para el equipo", dijo.
Postion	Tokenization
1	"
2	No
3	sé
4	como
5	está
6	Raúl
7	.
8	pero
9	el
10	Madrid
11	es
12	un
13	equipo
14	muy
15	fuerte
16	y
17	salga
18	uno
19	u
20	otro
21	jugador
22	,
23	todos
24	saldrán
25	a
26	hacer
27	lo
28	mejor
29	para
30	el
31	equipo
32	"
33	,
34	dijo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	sé	VERB	34	ccomp
4	como	PRON	3	ccomp
5	está	AUX	4	cop
6	Raúl	PROPN	4	nsubj
7	.	PUNCT	3	punct
8	pero	CCONJ	13	cc
9	el	DET	10	det
10	Madrid	PROPN	13	nsubj
11	es	AUX	13	cop
12	un	DET	13	det
13	equipo	NOUN	3	conj
14	muy	ADV	15	advmod
15	fuerte	ADJ	13	amod
16	y	CCONJ	24	cc
17	salga	VERB	24	advcl
18	uno	PRON	17	nsubj
19	u	CCONJ	21	cc
20	otro	DET	21	det
21	jugador	NOUN	18	conj
22	,	PUNCT	17	punct
23	todos	PRON	24	nsubj
24	saldrán	VERB	13	conj
25	a	ADP	26	mark
26	hacer	VERB	24	xcomp
27	lo	PRON	28	det
28	mejor	ADJ	26	obj
29	para	ADP	31	case
30	el	DET	31	det
31	equipo	NOUN	28	obl
32	"	PUNCT	3	punct
33	,	PUNCT	3	punct
34	dijo	VERB	0	root
35	.	PUNCT	34	punct