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:
Los demás ya son conocidos: la composición del resto del podio, la probabilidad de que Tony Rominger se apunte también la montaña y la regularidad...
Postion	Tokenization
1	Los
2	demás
3	ya
4	son
5	conocidos
6	:
7	la
8	composición
9	del
10	resto
11	del
12	podio
13	,
14	la
15	probabilidad
16	de
17	que
18	Tony
19	Rominger
20	se
21	apunte
22	también
23	la
24	montaña
25	y
26	la
27	regularidad
28	...
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	demás	PRON	5	nsubj
3	ya	ADV	5	advmod
4	son	AUX	5	cop
5	conocidos	ADJ	0	root
6	:	PUNCT	8	punct
7	la	DET	8	det
8	composición	NOUN	5	obj
9	del	ADP	10	case
10	resto	NOUN	8	nmod
11	del	ADP	12	case
12	podio	NOUN	10	nmod
13	,	PUNCT	8	punct
14	la	DET	15	det
15	probabilidad	NOUN	8	appos
16	de	ADP	21	mark
17	que	SCONJ	21	mark
18	Tony	PROPN	21	nsubj
19	Rominger	PROPN	18	flat
20	se	PRON	21	expl:pv
21	apunte	VERB	15	acl
22	también	ADV	21	advmod
23	la	DET	24	det
24	montaña	NOUN	21	obj
25	y	CCONJ	27	cc
26	la	DET	27	det
27	regularidad	NOUN	24	conj
28	...	PUNCT	5	punct