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:
"Necesitábamos un resultado de esta contundencia, por la situación en la que nos encontrábamos y para ganar credibilidad ante nosotros y ante la afición", ha dicho Flores.
Postion	Tokenization
1	"
2	Necesitábamos
3	un
4	resultado
5	de
6	esta
7	contundencia
8	,
9	por
10	la
11	situación
12	en
13	la
14	que
15	nos
16	encontrábamos
17	y
18	para
19	ganar
20	credibilidad
21	ante
22	nosotros
23	y
24	ante
25	la
26	afición
27	"
28	,
29	ha
30	dicho
31	Flores
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Necesitábamos	VERB	30	ccomp
3	un	DET	4	det
4	resultado	NOUN	2	obj
5	de	ADP	7	case
6	esta	DET	7	det
7	contundencia	NOUN	4	nmod
8	,	PUNCT	11	punct
9	por	ADP	11	case
10	la	DET	11	det
11	situación	NOUN	2	obl
12	en	ADP	14	case
13	la	DET	14	det
14	que	PRON	16	obl
15	nos	PRON	16	expl:pv
16	encontrábamos	VERB	11	acl
17	y	CCONJ	19	cc
18	para	ADP	19	mark
19	ganar	VERB	11	conj
20	credibilidad	NOUN	19	obj
21	ante	ADP	22	case
22	nosotros	PRON	19	obl
23	y	CCONJ	26	cc
24	ante	ADP	26	case
25	la	DET	26	det
26	afición	NOUN	22	conj
27	"	PUNCT	2	punct
28	,	PUNCT	2	punct
29	ha	AUX	30	aux
30	dicho	VERB	0	root
31	Flores	PROPN	30	nsubj
32	.	PUNCT	30	punct