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:
Cárdenas, hijo del ex presidente mexicano Lázaro Cárdenas (1934-1940), fue líder del Partido de la Revolución Democrática (PRD) y tres veces candidato presidencial en México, en los años 1988, 1994 y 2000.
Postion	Tokenization
1	Cárdenas
2	,
3	hijo
4	del
5	ex
6	presidente
7	mexicano
8	Lázaro
9	Cárdenas
10	(
11	1934-1940
12	)
13	,
14	fue
15	líder
16	del
17	Partido
18	de
19	la
20	Revolución
21	Democrática
22	(
23	PRD
24	)
25	y
26	tres
27	veces
28	candidato
29	presidencial
30	en
31	México
32	,
33	en
34	los
35	años
36	1988
37	,
38	1994
39	y
40	2000
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Cárdenas	PROPN	15	nsubj
2	,	PUNCT	3	punct
3	hijo	NOUN	1	appos
4	del	ADP	6	case
5	ex	ADJ	6	amod
6	presidente	NOUN	3	nmod
7	mexicano	ADJ	6	amod
8	Lázaro	PROPN	6	appos
9	Cárdenas	PROPN	8	flat
10	(	PUNCT	11	punct
11	1934-1940	NOUN	6	appos
12	)	PUNCT	11	punct
13	,	PUNCT	3	punct
14	fue	AUX	15	cop
15	líder	NOUN	0	root
16	del	ADP	17	case
17	Partido	PROPN	15	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	Revolución	PROPN	17	flat
21	Democrática	PROPN	20	flat
22	(	PUNCT	23	punct
23	PRD	PROPN	17	flat
24	)	PUNCT	23	punct
25	y	CCONJ	27	cc
26	tres	NUM	27	nummod
27	veces	NOUN	15	conj
28	candidato	NOUN	27	appos
29	presidencial	ADJ	28	amod
30	en	ADP	31	case
31	México	PROPN	27	nmod
32	,	PUNCT	35	punct
33	en	ADP	35	case
34	los	DET	35	det
35	años	NOUN	27	nmod
36	1988	NOUN	35	appos
37	,	PUNCT	38	punct
38	1994	NUM	36	conj
39	y	CCONJ	40	cc
40	2000	NOUN	36	conj
41	.	PUNCT	15	punct