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:
Cheney, que el mes pasado superó un leve ataque al corazón - el cuarto en veintiún años -, tiene a la venta su residencia de Dallas, por la cual pide 3,1 millones de dólares.
Postion	Tokenization
1	Cheney
2	,
3	que
4	el
5	mes
6	pasado
7	superó
8	un
9	leve
10	ataque
11	al
12	corazón
13	-
14	el
15	cuarto
16	en
17	veintiún
18	años
19	-
20	,
21	tiene
22	a
23	la
24	venta
25	su
26	residencia
27	de
28	Dallas
29	,
30	por
31	la
32	cual
33	pide
34	3,1
35	millones
36	de
37	dólares
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Cheney	PROPN	21	nsubj
2	,	PUNCT	7	punct
3	que	PRON	7	nsubj
4	el	DET	5	det
5	mes	NOUN	7	obl
6	pasado	ADJ	5	amod
7	superó	VERB	1	acl
8	un	DET	10	det
9	leve	ADJ	10	amod
10	ataque	NOUN	7	obj
11	al	ADP	12	case
12	corazón	NOUN	10	nmod
13	-	PUNCT	15	punct
14	el	DET	15	det
15	cuarto	ADJ	10	appos
16	en	ADP	18	case
17	veintiún	NUM	18	nummod
18	años	NOUN	15	nmod
19	-	PUNCT	15	punct
20	,	PUNCT	7	punct
21	tiene	VERB	0	root
22	a	ADP	24	case
23	la	DET	24	det
24	venta	NOUN	21	obl
25	su	DET	26	det
26	residencia	NOUN	21	obj
27	de	ADP	28	case
28	Dallas	PROPN	26	nmod
29	,	PUNCT	33	punct
30	por	ADP	32	case
31	la	DET	32	det
32	cual	PRON	33	obl
33	pide	VERB	26	acl
34	3,1	NUM	35	nummod
35	millones	NOUN	33	obj
36	de	ADP	37	case
37	dólares	NOUN	35	nmod
38	.	PUNCT	21	punct