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:
"Hemos perdido el tren", asegura Carlos Ariño, un soldador de 24 años que trabaja en Alstom desde 1998.
Postion	Tokenization
1	"
2	Hemos
3	perdido
4	el
5	tren
6	"
7	,
8	asegura
9	Carlos
10	Ariño
11	,
12	un
13	soldador
14	de
15	24
16	años
17	que
18	trabaja
19	en
20	Alstom
21	desde
22	1998
23	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Hemos	AUX	3	aux
3	perdido	VERB	8	ccomp
4	el	DET	5	det
5	tren	NOUN	3	obj
6	"	PUNCT	3	punct
7	,	PUNCT	3	punct
8	asegura	VERB	0	root
9	Carlos	PROPN	8	nsubj
10	Ariño	PROPN	9	flat
11	,	PUNCT	13	punct
12	un	DET	13	det
13	soldador	NOUN	9	appos
14	de	ADP	16	case
15	24	NUM	16	nummod
16	años	NOUN	13	nmod
17	que	PRON	18	nsubj
18	trabaja	VERB	13	acl
19	en	ADP	20	case
20	Alstom	PROPN	18	obl
21	desde	ADP	22	case
22	1998	NOUN	18	obl
23	.	PUNCT	8	punct