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 éxito lo obtuvo un norteamericano de notable carácter y genio organizador que confirió al automóvil todo el sentido popular y utilitario del siglo XX.
Postion	Tokenization
1	El
2	éxito
3	lo
4	obtuvo
5	un
6	norteamericano
7	de
8	notable
9	carácter
10	y
11	genio
12	organizador
13	que
14	confirió
15	al
16	automóvil
17	todo
18	el
19	sentido
20	popular
21	y
22	utilitario
23	del
24	siglo
25	XX
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	éxito	NOUN	4	iobj
3	lo	PRON	4	obj
4	obtuvo	VERB	0	root
5	un	DET	6	det
6	norteamericano	NOUN	4	nsubj
7	de	ADP	9	case
8	notable	ADJ	9	amod
9	carácter	NOUN	6	nmod
10	y	CCONJ	11	cc
11	genio	NOUN	9	conj
12	organizador	ADJ	11	amod
13	que	PRON	14	nsubj
14	confirió	VERB	6	acl
15	al	ADP	16	case
16	automóvil	NOUN	14	obj
17	todo	DET	18	det
18	el	DET	19	det
19	sentido	NOUN	14	obj
20	popular	ADJ	19	amod
21	y	CCONJ	22	cc
22	utilitario	ADJ	20	conj
23	del	ADP	24	case
24	siglo	NOUN	19	nmod
25	XX	NOUN	24	compound
26	.	PUNCT	4	punct