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:
Pese a que es rentable publicitariamente, como estamos viendo en todos los medios de comunicación estos días, el ciclismo español tiene un gran problema de base.
Postion	Tokenization
1	Pese
2	a
3	que
4	es
5	rentable
6	publicitariamente
7	,
8	como
9	estamos
10	viendo
11	en
12	todos
13	los
14	medios
15	de
16	comunicación
17	estos
18	días
19	,
20	el
21	ciclismo
22	español
23	tiene
24	un
25	gran
26	problema
27	de
28	base
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	5	mark
2	a	ADP	1	fixed
3	que	SCONJ	1	fixed
4	es	AUX	5	cop
5	rentable	ADJ	23	advcl
6	publicitariamente	ADV	5	advmod
7	,	PUNCT	10	punct
8	como	SCONJ	10	mark
9	estamos	AUX	10	aux
10	viendo	VERB	5	advcl
11	en	ADP	14	case
12	todos	DET	13	det
13	los	DET	14	det
14	medios	NOUN	10	obl
15	de	ADP	16	case
16	comunicación	NOUN	14	nmod
17	estos	DET	18	det
18	días	NOUN	10	obl
19	,	PUNCT	10	punct
20	el	DET	21	det
21	ciclismo	NOUN	23	nsubj
22	español	ADJ	21	amod
23	tiene	VERB	0	root
24	un	DET	26	det
25	gran	ADJ	26	amod
26	problema	NOUN	23	obj
27	de	ADP	28	case
28	base	NOUN	26	nmod
29	.	PUNCT	23	punct