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 tono prepotente, a veces agresivo con que se gestionaron las ambiciones españolas y la exigencia abierta de un cambalache por la moratoria de siete años que Alemania exigía en la circulación de personas envenenó el asunto.
Postion	Tokenization
1	El
2	tono
3	prepotente
4	,
5	a
6	veces
7	agresivo
8	con
9	que
10	se
11	gestionaron
12	las
13	ambiciones
14	españolas
15	y
16	la
17	exigencia
18	abierta
19	de
20	un
21	cambalache
22	por
23	la
24	moratoria
25	de
26	siete
27	años
28	que
29	Alemania
30	exigía
31	en
32	la
33	circulación
34	de
35	personas
36	envenenó
37	el
38	asunto
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	tono	NOUN	36	nsubj
3	prepotente	ADJ	2	amod
4	,	PUNCT	7	punct
5	a	ADP	7	advmod
6	veces	NOUN	5	fixed
7	agresivo	ADJ	2	amod
8	con	ADP	9	case
9	que	PRON	11	obl
10	se	PRON	11	expl:pass
11	gestionaron	VERB	2	acl
12	las	DET	13	det
13	ambiciones	NOUN	11	nsubj
14	españolas	ADJ	13	amod
15	y	CCONJ	17	cc
16	la	DET	17	det
17	exigencia	NOUN	2	conj
18	abierta	ADJ	17	amod
19	de	ADP	21	case
20	un	DET	21	det
21	cambalache	NOUN	17	nmod
22	por	ADP	24	case
23	la	DET	24	det
24	moratoria	NOUN	21	nmod
25	de	ADP	27	case
26	siete	NUM	27	nummod
27	años	NOUN	24	nmod
28	que	PRON	30	obj
29	Alemania	PROPN	30	nsubj
30	exigía	VERB	24	acl
31	en	ADP	33	case
32	la	DET	33	det
33	circulación	NOUN	30	obl
34	de	ADP	35	case
35	personas	NOUN	33	nmod
36	envenenó	VERB	0	root
37	el	DET	38	det
38	asunto	NOUN	36	obj
39	.	PUNCT	36	punct