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 presidente blanco les hizo ver la necesidad de alcanzar de una vez la regularidad necesaria para rendir al mismo nivel que en la Copa de Europa en las competiciones españolas.
Postion	Tokenization
1	El
2	presidente
3	blanco
4	les
5	hizo
6	ver
7	la
8	necesidad
9	de
10	alcanzar
11	de
12	una
13	vez
14	la
15	regularidad
16	necesaria
17	para
18	rendir
19	al
20	mismo
21	nivel
22	que
23	en
24	la
25	Copa
26	de
27	Europa
28	en
29	las
30	competiciones
31	españolas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	5	nsubj
3	blanco	ADJ	2	amod
4	les	PRON	5	obj
5	hizo	VERB	0	root
6	ver	VERB	5	xcomp
7	la	DET	8	det
8	necesidad	NOUN	5	obj
9	de	ADP	10	mark
10	alcanzar	VERB	8	acl
11	de	ADP	13	case
12	una	DET	13	det
13	vez	NOUN	10	obl
14	la	DET	15	det
15	regularidad	NOUN	10	obj
16	necesaria	ADJ	15	amod
17	para	ADP	18	mark
18	rendir	VERB	15	acl
19	al	ADP	21	case
20	mismo	DET	21	det
21	nivel	NOUN	18	obl
22	que	SCONJ	25	mark
23	en	ADP	25	case
24	la	DET	25	det
25	Copa	PROPN	21	obl
26	de	ADP	27	case
27	Europa	PROPN	25	flat
28	en	ADP	30	case
29	las	DET	30	det
30	competiciones	NOUN	18	obl
31	españolas	ADJ	30	amod
32	.	PUNCT	5	punct