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:
España se quedó orgullosamente sola apenas respaldada por un Silvio Berlusconi recién llegado al cotarro europeo y que hace buena aquella frase del gitano: "No me defiendas, compadre".
Postion	Tokenization
1	España
2	se
3	quedó
4	orgullosamente
5	sola
6	apenas
7	respaldada
8	por
9	un
10	Silvio
11	Berlusconi
12	recién
13	llegado
14	al
15	cotarro
16	europeo
17	y
18	que
19	hace
20	buena
21	aquella
22	frase
23	del
24	gitano
25	:
26	"
27	No
28	me
29	defiendas
30	,
31	compadre
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	España	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	quedó	VERB	0	root
4	orgullosamente	ADV	5	advmod
5	sola	ADJ	3	obj
6	apenas	ADV	7	advmod
7	respaldada	ADJ	5	advmod
8	por	ADP	10	case
9	un	DET	10	det
10	Silvio	PROPN	7	obj
11	Berlusconi	PROPN	10	flat
12	recién	ADV	13	advmod
13	llegado	ADJ	10	amod
14	al	ADP	15	case
15	cotarro	NOUN	13	obl
16	europeo	ADJ	15	amod
17	y	CCONJ	19	cc
18	que	PRON	19	nsubj
19	hace	VERB	13	conj
20	buena	ADJ	19	obj
21	aquella	DET	22	det
22	frase	NOUN	19	obj
23	del	ADP	24	case
24	gitano	NOUN	22	nmod
25	:	PUNCT	29	punct
26	"	PUNCT	29	punct
27	No	ADV	29	advmod
28	me	PRON	29	obj
29	defiendas	VERB	22	acl
30	,	PUNCT	31	punct
31	compadre	NOUN	29	nsubj
32	"	PUNCT	29	punct
33	.	PUNCT	3	punct