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:
Jorge Eliécer Rodríguez Orejuela, alias "Chanengo", fue detenido por las autoridades el 2 de marzo de 1995 cuando consultaba a una pitonisa en Cali, después de un seguimiento policial.
Postion	Tokenization
1	Jorge
2	Eliécer
3	Rodríguez
4	Orejuela
5	,
6	alias
7	"
8	Chanengo
9	"
10	,
11	fue
12	detenido
13	por
14	las
15	autoridades
16	el
17	2
18	de
19	marzo
20	de
21	1995
22	cuando
23	consultaba
24	a
25	una
26	pitonisa
27	en
28	Cali
29	,
30	después
31	de
32	un
33	seguimiento
34	policial
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Jorge	PROPN	12	nsubj
2	Eliécer	PROPN	1	flat
3	Rodríguez	PROPN	1	flat
4	Orejuela	PROPN	1	flat
5	,	PUNCT	6	punct
6	alias	NOUN	1	appos
7	"	PUNCT	8	punct
8	Chanengo	PROPN	6	appos
9	"	PUNCT	8	punct
10	,	PUNCT	6	punct
11	fue	AUX	12	aux
12	detenido	VERB	0	root
13	por	ADP	15	case
14	las	DET	15	det
15	autoridades	NOUN	12	obj
16	el	DET	17	det
17	2	NUM	12	obl
18	de	ADP	19	case
19	marzo	NOUN	17	compound
20	de	ADP	21	case
21	1995	NUM	17	compound
22	cuando	PRON	23	obl
23	consultaba	VERB	17	acl
24	a	ADP	26	case
25	una	DET	26	det
26	pitonisa	NOUN	23	obj
27	en	ADP	28	case
28	Cali	PROPN	23	obl
29	,	PUNCT	30	punct
30	después	ADV	12	advmod
31	de	ADP	33	case
32	un	DET	33	det
33	seguimiento	NOUN	30	obl
34	policial	ADJ	33	amod
35	.	PUNCT	12	punct