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 clasificación de los deportes por número de clubes, también sitúa al fútbol como deporte líder, con 16.049, que representan el 26,8 por ciento del total.
Postion	Tokenization
1	La
2	clasificación
3	de
4	los
5	deportes
6	por
7	número
8	de
9	clubes
10	,
11	también
12	sitúa
13	al
14	fútbol
15	como
16	deporte
17	líder
18	,
19	con
20	16.049
21	,
22	que
23	representan
24	el
25	26,8
26	por
27	ciento
28	del
29	total
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	clasificación	NOUN	12	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	deportes	NOUN	2	nmod
6	por	ADP	7	case
7	número	NOUN	2	nmod
8	de	ADP	9	case
9	clubes	NOUN	7	nmod
10	,	PUNCT	2	punct
11	también	ADV	12	advmod
12	sitúa	VERB	0	root
13	al	ADP	14	case
14	fútbol	NOUN	12	obj
15	como	SCONJ	16	mark
16	deporte	NOUN	12	obl
17	líder	NOUN	16	nmod
18	,	PUNCT	20	punct
19	con	ADP	20	case
20	16.049	NUM	16	nummod
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	representan	VERB	20	advcl
24	el	DET	25	det
25	26,8	NUM	23	obj
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	del	ADP	29	case
29	total	NOUN	25	nmod
30	.	PUNCT	12	punct