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:
El entrenador céltico tiene como ejemplo "la idea que transmitieron el Boca o el Mallorca, equipos que jugaron muy juntos, que salieron muy rápido al contraataque tratando de coger la espalda a los laterales del Madrid.
Postion	Tokenization
1	El
2	entrenador
3	céltico
4	tiene
5	como
6	ejemplo
7	"
8	la
9	idea
10	que
11	transmitieron
12	el
13	Boca
14	o
15	el
16	Mallorca
17	,
18	equipos
19	que
20	jugaron
21	muy
22	juntos
23	,
24	que
25	salieron
26	muy
27	rápido
28	al
29	contraataque
30	tratando
31	de
32	coger
33	la
34	espalda
35	a
36	los
37	laterales
38	del
39	Madrid
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	entrenador	NOUN	4	nsubj
3	céltico	ADJ	2	amod
4	tiene	VERB	0	root
5	como	SCONJ	6	mark
6	ejemplo	NOUN	4	obj
7	"	PUNCT	9	punct
8	la	DET	9	det
9	idea	NOUN	4	obj
10	que	PRON	11	obj
11	transmitieron	VERB	9	acl
12	el	DET	13	det
13	Boca	PROPN	11	nsubj
14	o	CCONJ	16	cc
15	el	DET	16	det
16	Mallorca	PROPN	13	conj
17	,	PUNCT	18	punct
18	equipos	NOUN	13	appos
19	que	PRON	20	nsubj
20	jugaron	VERB	18	acl
21	muy	ADV	22	advmod
22	juntos	ADJ	20	obj
23	,	PUNCT	20	punct
24	que	PRON	25	nsubj
25	salieron	VERB	20	advcl
26	muy	ADV	27	advmod
27	rápido	ADJ	25	advmod
28	al	ADP	29	case
29	contraataque	NOUN	25	obl
30	tratando	VERB	25	advcl
31	de	ADP	32	mark
32	coger	VERB	30	xcomp
33	la	DET	34	det
34	espalda	NOUN	32	obj
35	a	ADP	37	case
36	los	DET	37	det
37	laterales	NOUN	32	obj
38	del	ADP	39	case
39	Madrid	PROPN	37	nmod
40	.	PUNCT	4	punct