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 dos convoyes permitirán conectar Lleida con Madrid a finales de año en poco más de dos horas, como avanzó este diario.
Postion	Tokenization
1	Los
2	dos
3	convoyes
4	permitirán
5	conectar
6	Lleida
7	con
8	Madrid
9	a
10	finales
11	de
12	año
13	en
14	poco
15	más
16	de
17	dos
18	horas
19	,
20	como
21	avanzó
22	este
23	diario
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	dos	NUM	1	nummod
3	convoyes	NOUN	4	nsubj
4	permitirán	VERB	0	root
5	conectar	VERB	4	xcomp
6	Lleida	PROPN	5	obj
7	con	ADP	8	case
8	Madrid	PROPN	5	obj
9	a	ADP	10	case
10	finales	NOUN	5	obl
11	de	ADP	12	case
12	año	NOUN	10	nmod
13	en	ADP	18	case
14	poco	ADV	17	advmod
15	más	ADV	17	advmod
16	de	ADP	17	case
17	dos	NUM	18	nummod
18	horas	NOUN	5	obl
19	,	PUNCT	21	punct
20	como	SCONJ	21	mark
21	avanzó	VERB	4	advcl
22	este	DET	23	det
23	diario	NOUN	21	nsubj
24	.	PUNCT	4	punct