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:
Escuchando a los que ya han jugado en el vetusto estadio ateniense, de nada sirven las amenazantes palabras del ex madridista Robert Jarni, actual jugador del Panathinaikos: "El estadio es pequeño y se llenará.
Postion	Tokenization
1	Escuchando
2	a
3	los
4	que
5	ya
6	han
7	jugado
8	en
9	el
10	vetusto
11	estadio
12	ateniense
13	,
14	de
15	nada
16	sirven
17	las
18	amenazantes
19	palabras
20	del
21	ex
22	madridista
23	Robert
24	Jarni
25	,
26	actual
27	jugador
28	del
29	Panathinaikos
30	:
31	"
32	El
33	estadio
34	es
35	pequeño
36	y
37	se
38	llenará
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Escuchando	VERB	16	advcl
2	a	ADP	7	mark
3	los	DET	7	det
4	que	PRON	7	nsubj
5	ya	ADV	7	advmod
6	han	AUX	7	aux
7	jugado	VERB	1	ccomp
8	en	ADP	11	case
9	el	DET	11	det
10	vetusto	ADJ	11	amod
11	estadio	NOUN	7	obl
12	ateniense	ADJ	11	amod
13	,	PUNCT	1	punct
14	de	ADP	15	case
15	nada	PRON	16	obj
16	sirven	VERB	0	root
17	las	DET	19	det
18	amenazantes	ADJ	19	amod
19	palabras	NOUN	16	nsubj
20	del	ADP	22	case
21	ex	ADJ	22	amod
22	madridista	NOUN	19	nmod
23	Robert	PROPN	22	appos
24	Jarni	PROPN	23	flat
25	,	PUNCT	27	punct
26	actual	ADJ	27	amod
27	jugador	NOUN	22	appos
28	del	ADP	29	case
29	Panathinaikos	PROPN	27	nmod
30	:	PUNCT	35	punct
31	"	PUNCT	35	punct
32	El	DET	33	det
33	estadio	NOUN	35	nsubj
34	es	AUX	35	cop
35	pequeño	ADJ	19	acl
36	y	CCONJ	38	cc
37	se	PRON	38	expl:pv
38	llenará	VERB	35	conj
39	.	PUNCT	16	punct