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:
El ex líder de la izquierda mexicana y tres veces candidato presidencial, Cuauhtémoc Cárdenas, pidió hoy al presidente de Argentina, Fernando de la Rúa, la revisión de los casos de los presos de La Tablada.
Postion	Tokenization
1	El
2	ex
3	líder
4	de
5	la
6	izquierda
7	mexicana
8	y
9	tres
10	veces
11	candidato
12	presidencial
13	,
14	Cuauhtémoc
15	Cárdenas
16	,
17	pidió
18	hoy
19	al
20	presidente
21	de
22	Argentina
23	,
24	Fernando
25	de
26	la
27	Rúa
28	,
29	la
30	revisión
31	de
32	los
33	casos
34	de
35	los
36	presos
37	de
38	La
39	Tablada
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	líder	NOUN	17	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	izquierda	NOUN	3	nmod
7	mexicana	ADJ	6	amod
8	y	CCONJ	11	cc
9	tres	NUM	10	nummod
10	veces	NOUN	3	conj
11	candidato	NOUN	10	flat
12	presidencial	ADJ	11	amod
13	,	PUNCT	14	punct
14	Cuauhtémoc	PROPN	3	appos
15	Cárdenas	PROPN	14	flat
16	,	PUNCT	14	punct
17	pidió	VERB	0	root
18	hoy	ADV	17	advmod
19	al	ADP	20	case
20	presidente	NOUN	17	obj
21	de	ADP	22	case
22	Argentina	PROPN	20	nmod
23	,	PUNCT	24	punct
24	Fernando	PROPN	20	appos
25	de	ADP	27	case
26	la	DET	27	det
27	Rúa	PROPN	24	flat
28	,	PUNCT	24	punct
29	la	DET	30	det
30	revisión	NOUN	17	obj
31	de	ADP	33	case
32	los	DET	33	det
33	casos	NOUN	30	nmod
34	de	ADP	36	case
35	los	DET	36	det
36	presos	NOUN	33	nmod
37	de	ADP	39	case
38	La	DET	39	det
39	Tablada	PROPN	36	nmod
40	.	PUNCT	17	punct