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:
En su primer artículo, que trata sobre la crisis de popularidad del Gobierno, Vosseler escribe benevolente: "Como canciller, Gerd tiene que hacerse a veces poco querido".
Postion	Tokenization
1	En
2	su
3	primer
4	artículo
5	,
6	que
7	trata
8	sobre
9	la
10	crisis
11	de
12	popularidad
13	del
14	Gobierno
15	,
16	Vosseler
17	escribe
18	benevolente
19	:
20	"
21	Como
22	canciller
23	,
24	Gerd
25	tiene
26	que
27	hacerse
28	hacer
29	se
30	a
31	veces
32	poco
33	querido
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	su	DET	4	det
3	primer	ADJ	4	amod
4	artículo	NOUN	17	obl
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	trata	VERB	4	acl
8	sobre	ADP	10	case
9	la	DET	10	det
10	crisis	NOUN	7	obj
11	de	ADP	12	case
12	popularidad	NOUN	10	nmod
13	del	ADP	14	case
14	Gobierno	PROPN	10	nmod
15	,	PUNCT	7	punct
16	Vosseler	PROPN	17	nsubj
17	escribe	VERB	0	root
18	benevolente	ADJ	17	iobj
19	:	PUNCT	25	punct
20	"	PUNCT	25	punct
21	Como	SCONJ	22	mark
22	canciller	NOUN	27	obj
23	,	PUNCT	22	punct
24	Gerd	PROPN	27	nsubj
25	tiene	VERB	17	ccomp
26	que	SCONJ	27	cc
27	hacerse	_	None	_
28	hacer	VERB	25	conj
29	se	PRON	27	obj
30	a	ADP	27	advmod
31	veces	NOUN	29	fixed
32	poco	ADV	32	advmod
33	querido	ADJ	27	obj
34	"	PUNCT	25	punct
35	.	PUNCT	17	punct