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:
En 1994, sin embargo, rompió con Tudjman para convertirse en uno de sus mayores críticos y denunció el excesivo poder que había concentrado el presidente.
Postion	Tokenization
1	En
2	1994
3	,
4	sin
5	embargo
6	,
7	rompió
8	con
9	Tudjman
10	para
11	convertirse
12	convertir
13	se
14	en
15	uno
16	de
17	sus
18	mayores
19	críticos
20	y
21	denunció
22	el
23	excesivo
24	poder
25	que
26	había
27	concentrado
28	el
29	presidente
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1994	NOUN	7	obl
3	,	PUNCT	4	punct
4	sin	ADP	7	advmod
5	embargo	NOUN	4	fixed
6	,	PUNCT	4	punct
7	rompió	VERB	0	root
8	con	ADP	9	case
9	Tudjman	PROPN	7	obj
10	para	ADP	11	mark
11	convertirse	_	None	_
12	convertir	VERB	7	advcl
13	se	PRON	11	expl:pv
14	en	ADP	14	case
15	uno	PRON	11	obj
16	de	ADP	18	case
17	sus	DET	18	det
18	mayores	ADJ	18	amod
19	críticos	NOUN	14	nmod
20	y	CCONJ	20	cc
21	denunció	VERB	7	conj
22	el	DET	23	det
23	excesivo	ADJ	23	amod
24	poder	NOUN	20	obj
25	que	PRON	26	obj
26	había	AUX	26	aux
27	concentrado	VERB	23	acl
28	el	DET	28	det
29	presidente	NOUN	26	nsubj
30	.	PUNCT	7	punct