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 Real Madrid ya estaba clasificado para los cuartos de final y el Panathinaikos necesitaba un punto para asegurarse su presencia entre los ocho mejores.
Postion	Tokenization
1	El
2	Real
3	Madrid
4	ya
5	estaba
6	clasificado
7	para
8	los
9	cuartos
10	de
11	final
12	y
13	el
14	Panathinaikos
15	necesitaba
16	un
17	punto
18	para
19	asegurarse
20	asegurar
21	se
22	su
23	presencia
24	entre
25	los
26	ocho
27	mejores
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Real	PROPN	6	nsubj
3	Madrid	PROPN	2	flat
4	ya	ADV	6	advmod
5	estaba	AUX	6	cop
6	clasificado	ADJ	0	root
7	para	ADP	9	case
8	los	DET	9	det
9	cuartos	NOUN	6	obl
10	de	ADP	11	case
11	final	NOUN	9	nmod
12	y	CCONJ	15	cc
13	el	DET	14	det
14	Panathinaikos	PROPN	15	nsubj
15	necesitaba	VERB	6	conj
16	un	DET	17	det
17	punto	NOUN	15	obj
18	para	ADP	19	mark
19	asegurarse	_	None	_
20	asegurar	VERB	15	advcl
21	se	PRON	19	expl:pv
22	su	DET	22	det
23	presencia	NOUN	19	obj
24	entre	ADP	26	case
25	los	DET	26	det
26	ocho	NUM	24	nummod
27	mejores	ADJ	19	advmod
28	.	PUNCT	6	punct