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:
Esa íntima necesidad de victoria ante el Gran Adversario condujo a un lleno histórico en el Bernabéu y a un admirable empeño de los madrileños en ganar el partido.
Postion	Tokenization
1	Esa
2	íntima
3	necesidad
4	de
5	victoria
6	ante
7	el
8	Gran
9	Adversario
10	condujo
11	a
12	un
13	lleno
14	histórico
15	en
16	el
17	Bernabéu
18	y
19	a
20	un
21	admirable
22	empeño
23	de
24	los
25	madrileños
26	en
27	ganar
28	el
29	partido
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Esa	DET	3	det
2	íntima	ADJ	3	amod
3	necesidad	NOUN	10	nsubj
4	de	ADP	5	case
5	victoria	NOUN	3	nmod
6	ante	ADP	8	case
7	el	DET	8	det
8	Gran	ADJ	5	nmod
9	Adversario	PROPN	8	flat
10	condujo	VERB	0	root
11	a	ADP	13	case
12	un	DET	13	det
13	lleno	NOUN	10	obj
14	histórico	ADJ	13	amod
15	en	ADP	17	case
16	el	DET	17	det
17	Bernabéu	PROPN	13	nmod
18	y	CCONJ	22	cc
19	a	ADP	22	case
20	un	DET	22	det
21	admirable	ADJ	22	amod
22	empeño	NOUN	13	conj
23	de	ADP	25	case
24	los	DET	25	det
25	madrileños	NOUN	22	nmod
26	en	ADP	27	mark
27	ganar	VERB	22	acl
28	el	DET	29	det
29	partido	NOUN	27	obj
30	.	PUNCT	10	punct