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:
Dicen que un papel semejante lo firmó ya un antiguo gerente del Madrid, a quien por su silencio le pagarían 50 millones anuales durante toda la vida.
Postion	Tokenization
1	Dicen
2	que
3	un
4	papel
5	semejante
6	lo
7	firmó
8	ya
9	un
10	antiguo
11	gerente
12	del
13	Madrid
14	,
15	a
16	quien
17	por
18	su
19	silencio
20	le
21	pagarían
22	50
23	millones
24	anuales
25	durante
26	toda
27	la
28	vida
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dicen	VERB	0	root
2	que	SCONJ	7	mark
3	un	DET	4	det
4	papel	NOUN	7	iobj
5	semejante	ADJ	4	amod
6	lo	PRON	7	obj
7	firmó	VERB	1	ccomp
8	ya	ADV	7	advmod
9	un	DET	11	det
10	antiguo	ADJ	11	amod
11	gerente	NOUN	7	nsubj
12	del	ADP	13	case
13	Madrid	PROPN	11	nmod
14	,	PUNCT	21	punct
15	a	ADP	16	case
16	quien	PRON	21	obj
17	por	ADP	19	case
18	su	DET	19	det
19	silencio	NOUN	21	obl
20	le	PRON	21	obj
21	pagarían	VERB	11	acl
22	50	NUM	23	nummod
23	millones	NOUN	21	obj
24	anuales	ADJ	23	amod
25	durante	ADP	28	case
26	toda	DET	27	det
27	la	DET	28	det
28	vida	NOUN	21	obl
29	.	PUNCT	1	punct