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:
Entre los aspectos positivos resaltaron que Vladímir Putin es un presidente con grandes dosis de energía con el que se puede trabajar y como obstáculos enumeraron la situación de Chechenia y la posición respecto a la democracia.
Postion	Tokenization
1	Entre
2	los
3	aspectos
4	positivos
5	resaltaron
6	que
7	Vladímir
8	Putin
9	es
10	un
11	presidente
12	con
13	grandes
14	dosis
15	de
16	energía
17	con
18	el
19	que
20	se
21	puede
22	trabajar
23	y
24	como
25	obstáculos
26	enumeraron
27	la
28	situación
29	de
30	Chechenia
31	y
32	la
33	posición
34	respecto
35	a
36	la
37	democracia
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	los	DET	3	det
3	aspectos	NOUN	5	obl
4	positivos	ADJ	3	amod
5	resaltaron	VERB	0	root
6	que	SCONJ	11	mark
7	Vladímir	PROPN	11	nsubj
8	Putin	PROPN	7	flat
9	es	AUX	11	cop
10	un	DET	11	det
11	presidente	NOUN	5	ccomp
12	con	ADP	14	case
13	grandes	ADJ	14	amod
14	dosis	NOUN	11	nmod
15	de	ADP	16	case
16	energía	NOUN	14	nmod
17	con	ADP	19	case
18	el	DET	19	det
19	que	PRON	22	obl
20	se	PRON	22	expl:impers
21	puede	AUX	22	aux
22	trabajar	VERB	11	acl
23	y	CCONJ	26	cc
24	como	SCONJ	25	mark
25	obstáculos	NOUN	26	obl
26	enumeraron	VERB	5	conj
27	la	DET	28	det
28	situación	NOUN	26	obj
29	de	ADP	30	case
30	Chechenia	PROPN	28	nmod
31	y	CCONJ	33	cc
32	la	DET	33	det
33	posición	NOUN	28	conj
34	respecto	NOUN	37	case
35	a	ADP	34	fixed
36	la	DET	37	det
37	democracia	NOUN	33	nmod
38	.	PUNCT	5	punct