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 Werder Bremen amenaza con pedir un arbitraje a la UEFA si el Zagreb no reconoce el acuerdo inicial, pero el Zagreb considera que tal arbitraje sería resuelto a su favor.
Postion	Tokenization
1	El
2	Werder
3	Bremen
4	amenaza
5	con
6	pedir
7	un
8	arbitraje
9	a
10	la
11	UEFA
12	si
13	el
14	Zagreb
15	no
16	reconoce
17	el
18	acuerdo
19	inicial
20	,
21	pero
22	el
23	Zagreb
24	considera
25	que
26	tal
27	arbitraje
28	sería
29	resuelto
30	a
31	su
32	favor
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Werder	PROPN	4	nsubj
3	Bremen	PROPN	2	flat
4	amenaza	VERB	0	root
5	con	ADP	6	mark
6	pedir	VERB	4	xcomp
7	un	DET	8	det
8	arbitraje	NOUN	6	obj
9	a	ADP	11	case
10	la	DET	11	det
11	UEFA	PROPN	6	obj
12	si	SCONJ	16	mark
13	el	DET	14	det
14	Zagreb	PROPN	16	nsubj
15	no	ADV	16	advmod
16	reconoce	VERB	4	advcl
17	el	DET	18	det
18	acuerdo	NOUN	16	obj
19	inicial	ADJ	18	amod
20	,	PUNCT	24	punct
21	pero	CCONJ	24	cc
22	el	DET	23	det
23	Zagreb	PROPN	24	nsubj
24	considera	VERB	4	conj
25	que	SCONJ	29	mark
26	tal	DET	27	det
27	arbitraje	NOUN	29	nsubj
28	sería	AUX	29	aux
29	resuelto	VERB	24	ccomp
30	a	ADP	32	case
31	su	DET	32	det
32	favor	NOUN	29	obl
33	.	PUNCT	4	punct