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:
Ese Deportivo transformado llega esta tarde a Barcelona, para enfrentarse mañana al Barça sin un cartel deslumbrante, pero confiado en su capacidad de obtener buenos resultados.
Postion	Tokenization
1	Ese
2	Deportivo
3	transformado
4	llega
5	esta
6	tarde
7	a
8	Barcelona
9	,
10	para
11	enfrentarse
12	enfrentar
13	se
14	mañana
15	al
16	Barça
17	sin
18	un
19	cartel
20	deslumbrante
21	,
22	pero
23	confiado
24	en
25	su
26	capacidad
27	de
28	obtener
29	buenos
30	resultados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	DET	2	det
2	Deportivo	PROPN	4	nsubj
3	transformado	ADJ	2	amod
4	llega	VERB	0	root
5	esta	DET	6	det
6	tarde	NOUN	4	obl
7	a	ADP	8	case
8	Barcelona	PROPN	4	obl
9	,	PUNCT	11	punct
10	para	ADP	11	mark
11	enfrentarse	_	None	_
12	enfrentar	VERB	4	advcl
13	se	PRON	11	expl:pv
14	mañana	NOUN	11	obl
15	al	ADP	15	case
16	Barça	PROPN	11	obj
17	sin	ADP	18	case
18	un	DET	18	det
19	cartel	NOUN	4	obl
20	deslumbrante	ADJ	18	amod
21	,	PUNCT	18	punct
22	pero	CCONJ	22	cc
23	confiado	ADJ	18	conj
24	en	ADP	25	case
25	su	DET	25	det
26	capacidad	NOUN	22	obj
27	de	ADP	27	mark
28	obtener	VERB	25	acl
29	buenos	ADJ	29	amod
30	resultados	NOUN	27	obj
31	.	PUNCT	4	punct