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 espere el lector una definición previa de la palabra cultura: según Georges Balandier se han detectado por lo menos doscientas cincuenta definiciones serias o competentes.
Postion	Tokenization
1	No
2	espere
3	el
4	lector
5	una
6	definición
7	previa
8	de
9	la
10	palabra
11	cultura
12	:
13	según
14	Georges
15	Balandier
16	se
17	han
18	detectado
19	por
20	lo
21	menos
22	doscientas
23	cincuenta
24	definiciones
25	serias
26	o
27	competentes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	espere	VERB	0	root
3	el	DET	4	det
4	lector	NOUN	2	nsubj
5	una	DET	6	det
6	definición	NOUN	2	obj
7	previa	ADJ	6	amod
8	de	ADP	10	case
9	la	DET	10	det
10	palabra	NOUN	6	nmod
11	cultura	NOUN	10	appos
12	:	PUNCT	18	punct
13	según	ADP	14	case
14	Georges	PROPN	18	obl
15	Balandier	PROPN	14	flat
16	se	PRON	18	expl:pass
17	han	AUX	18	aux
18	detectado	VERB	2	advcl
19	por	ADP	18	advmod
20	lo	PRON	19	fixed
21	menos	ADV	19	fixed
22	doscientas	NUM	24	nummod
23	cincuenta	NUM	22	compound
24	definiciones	NOUN	18	nsubj
25	serias	ADJ	24	amod
26	o	CCONJ	27	cc
27	competentes	ADJ	25	conj
28	.	PUNCT	2	punct