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:
Los claros perdedores de estos días serán, sin lugar a dudas, los conductores, que verán cortadas al tráfico las principales arterias de la ciudad, como la Kurfuerstendamm o la propia Avenida 17 de Junio.
Postion	Tokenization
1	Los
2	claros
3	perdedores
4	de
5	estos
6	días
7	serán
8	,
9	sin
10	lugar
11	a
12	dudas
13	,
14	los
15	conductores
16	,
17	que
18	verán
19	cortadas
20	al
21	tráfico
22	las
23	principales
24	arterias
25	de
26	la
27	ciudad
28	,
29	como
30	la
31	Kurfuerstendamm
32	o
33	la
34	propia
35	Avenida
36	17
37	de
38	Junio
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	claros	ADJ	3	amod
3	perdedores	NOUN	15	nsubj
4	de	ADP	6	case
5	estos	DET	6	det
6	días	NOUN	3	nmod
7	serán	AUX	15	cop
8	,	PUNCT	9	punct
9	sin	ADP	15	advmod
10	lugar	NOUN	9	fixed
11	a	ADP	9	fixed
12	dudas	NOUN	9	fixed
13	,	PUNCT	9	punct
14	los	DET	15	det
15	conductores	NOUN	0	root
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	verán	VERB	15	acl
19	cortadas	ADJ	18	obj
20	al	ADP	21	case
21	tráfico	NOUN	19	obl
22	las	DET	24	det
23	principales	ADJ	24	amod
24	arterias	NOUN	18	obj
25	de	ADP	27	case
26	la	DET	27	det
27	ciudad	NOUN	24	nmod
28	,	PUNCT	31	punct
29	como	ADP	31	case
30	la	DET	31	det
31	Kurfuerstendamm	PROPN	24	nmod
32	o	CCONJ	35	cc
33	la	DET	35	det
34	propia	ADJ	35	amod
35	Avenida	PROPN	31	conj
36	17	NUM	35	nummod
37	de	ADP	38	case
38	Junio	PROPN	35	flat
39	.	PUNCT	15	punct