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:
No, porque los miembros de la FIFA se fijan en el alto nivel del conjunto del torneo ", escribe Beckenbauer, en su columna del popular diario" Bild".
Postion	Tokenization
1	No
2	,
3	porque
4	los
5	miembros
6	de
7	la
8	FIFA
9	se
10	fijan
11	en
12	el
13	alto
14	nivel
15	del
16	conjunto
17	del
18	torneo
19	"
20	,
21	escribe
22	Beckenbauer
23	,
24	en
25	su
26	columna
27	del
28	popular
29	diario
30	"
31	Bild
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	10	advmod
2	,	PUNCT	10	punct
3	porque	SCONJ	10	mark
4	los	DET	5	det
5	miembros	NOUN	10	nsubj
6	de	ADP	8	case
7	la	DET	8	det
8	FIFA	PROPN	5	nmod
9	se	PRON	10	expl:pv
10	fijan	VERB	21	ccomp
11	en	ADP	14	case
12	el	DET	14	det
13	alto	ADJ	14	amod
14	nivel	NOUN	10	obj
15	del	ADP	16	case
16	conjunto	NOUN	14	nmod
17	del	ADP	18	case
18	torneo	NOUN	16	nmod
19	"	PUNCT	10	punct
20	,	PUNCT	10	punct
21	escribe	VERB	0	root
22	Beckenbauer	PROPN	21	nsubj
23	,	PUNCT	26	punct
24	en	ADP	26	case
25	su	DET	26	det
26	columna	NOUN	21	obl
27	del	ADP	29	case
28	popular	ADJ	29	amod
29	diario	NOUN	26	nmod
30	"	PUNCT	31	punct
31	Bild	PROPN	29	appos
32	"	PUNCT	31	punct
33	.	PUNCT	21	punct