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:
La empresa organizadora de la carrera consigue una gran cantidad de colaboradores y patrocinadores, pero este año no ha logrado igualar en participación a carreras menos importantes disputadas a lo largo de la temporada.
Postion	Tokenization
1	La
2	empresa
3	organizadora
4	de
5	la
6	carrera
7	consigue
8	una
9	gran
10	cantidad
11	de
12	colaboradores
13	y
14	patrocinadores
15	,
16	pero
17	este
18	año
19	no
20	ha
21	logrado
22	igualar
23	en
24	participación
25	a
26	carreras
27	menos
28	importantes
29	disputadas
30	a
31	lo
32	largo
33	de
34	la
35	temporada
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	empresa	NOUN	7	nsubj
3	organizadora	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	carrera	NOUN	3	nmod
7	consigue	VERB	0	root
8	una	DET	10	det
9	gran	ADJ	10	amod
10	cantidad	NOUN	7	obj
11	de	ADP	12	case
12	colaboradores	NOUN	10	nmod
13	y	CCONJ	14	cc
14	patrocinadores	NOUN	12	conj
15	,	PUNCT	21	punct
16	pero	CCONJ	21	cc
17	este	DET	18	det
18	año	NOUN	21	obl
19	no	ADV	21	advmod
20	ha	AUX	21	aux
21	logrado	VERB	7	conj
22	igualar	VERB	21	xcomp
23	en	ADP	24	case
24	participación	NOUN	22	obl
25	a	ADP	26	case
26	carreras	NOUN	22	obj
27	menos	ADV	28	advmod
28	importantes	ADJ	26	amod
29	disputadas	ADJ	26	amod
30	a	ADP	35	case
31	lo	PRON	30	fixed
32	largo	NOUN	30	fixed
33	de	ADP	30	fixed
34	la	DET	35	det
35	temporada	NOUN	29	obl
36	.	PUNCT	7	punct